--- source_url: "https://www.aifordatascience.nebius.com/?gad_source=1&utm_source=openai" title: "AI-Powered Data Science | Nebius Academy" mirrored_at: 2026-08-13T01:11:51.356Z host: www.aifordatascience.nebius.com cited_in_42a: true mirror_canonical: "https://index.42a.ai/www.aifordatascience.nebius.com/index__q__gad_source_1__utm_source_openai" --- > **Original source:** https://www.aifordatascience.nebius.com/?gad_source=1&utm_source=openai ## Learn Practice Launch at Nebius Academy OUR COURSE AI-Powered Data Science 4 months Starts October 28 160 lecture hours + assignments Classes at the Tel Aviv University campus with live streaming available Focus on statistical thinking, data exploration, feature engineering, classical ML models and pipelines, GenAI applications and tools Ideal for analysts, STEM graduates, software developers looking to build a strong foundation in data science **Price: 12,500₪** ABOUT ## About us ![](https://cdn.prod.website-files.com/677fb6700bc256b79d7d015f/67812cf548d35f3419f1da33_Frame%202087328770.webp) Nebius Academy offers an applied program in machine learning and AI Founded by the AI infrastructure company Nebius, it bridges the gap between short-term online courses and full-time MSc studies. More than 300 of our graduates now work at major companies in Israel and worldwide. Since 2018, our program — formerly known as Y-DATA — has been taught by experts from leading universities and the tech industry in hybrid format at the Tel Aviv University campus. It combines hands-on training with real practice using both Nebius and industry-standard tools. Target audience ## Who is this for? Software developers and engineers Researchers and advanced degree graduates Professionals from IDF tech units Fresh university graduates looking for DS roles Advantages We offer a unique combination of advantages not found in other programs Career support Career support Career guidance and soft-skills workshops built for real hiring needs — 92% of grads now work in DS/ML Real projects Real projects Real-world industry project for your portfolio Cloud resources Cloud resources Access cloud computing resources with Nebius Professional community Professional community Stay connected through ongoing involvement with a network of experts Advantage Theoretical foundations Real-world practice Latest AI research Careful candidate selection Job-friendly format Industry mentors Compute access Up-to-date course Nebius Academy Online courses Bootcamps Advanced degrees ![](https://cdn.prod.website-files.com/677fb6700bc256b79d7d015f/67a0d552e719a62561867676_table-check.svg) ![](https://cdn.prod.website-files.com/677fb6700bc256b79d7d015f/67a0d55235757369e0521a4e_table-cross.svg) ![](https://cdn.prod.website-files.com/677fb6700bc256b79d7d015f/67a0d55235757369e0521a4e_table-cross.svg) ![](https://cdn.prod.website-files.com/677fb6700bc256b79d7d015f/67a0d552e719a62561867676_table-check.svg) ![](https://cdn.prod.website-files.com/677fb6700bc256b79d7d015f/67a0d552e719a62561867676_table-check.svg) ![](https://cdn.prod.website-files.com/677fb6700bc256b79d7d015f/67a0d55235757369e0521a4e_table-cross.svg) ![](https://cdn.prod.website-files.com/677fb6700bc256b79d7d015f/67a0d55235757369e0521a4e_table-cross.svg) ![](https://cdn.prod.website-files.com/677fb6700bc256b79d7d015f/67a0d55235757369e0521a4e_table-cross.svg) ![](https://cdn.prod.website-files.com/677fb6700bc256b79d7d015f/67a0d552e719a62561867676_table-check.svg) ![](https://cdn.prod.website-files.com/677fb6700bc256b79d7d015f/67a0d55235757369e0521a4e_table-cross.svg) ![](https://cdn.prod.website-files.com/677fb6700bc256b79d7d015f/67a0d55235757369e0521a4e_table-cross.svg) ![](https://cdn.prod.website-files.com/677fb6700bc256b79d7d015f/67a0d552e719a62561867676_table-check.svg) ![](https://cdn.prod.website-files.com/677fb6700bc256b79d7d015f/67a0d552e719a62561867676_table-check.svg) ![](https://cdn.prod.website-files.com/677fb6700bc256b79d7d015f/67a0d55235757369e0521a4e_table-cross.svg) ![](https://cdn.prod.website-files.com/677fb6700bc256b79d7d015f/67a0d55235757369e0521a4e_table-cross.svg) ![](https://cdn.prod.website-files.com/677fb6700bc256b79d7d015f/67a0d552e719a62561867676_table-check.svg) ![](https://cdn.prod.website-files.com/677fb6700bc256b79d7d015f/67a0d552e719a62561867676_table-check.svg) ![](https://cdn.prod.website-files.com/677fb6700bc256b79d7d015f/67a0d552e719a62561867676_table-check.svg) ![](https://cdn.prod.website-files.com/677fb6700bc256b79d7d015f/67a0d55235757369e0521a4e_table-cross.svg) ![](https://cdn.prod.website-files.com/677fb6700bc256b79d7d015f/67a0d55235757369e0521a4e_table-cross.svg) ![](https://cdn.prod.website-files.com/677fb6700bc256b79d7d015f/67a0d552e719a62561867676_table-check.svg) ![](https://cdn.prod.website-files.com/677fb6700bc256b79d7d015f/67a0d55235757369e0521a4e_table-cross.svg) ![](https://cdn.prod.website-files.com/677fb6700bc256b79d7d015f/67a0d552e719a62561867676_table-check.svg) ![](https://cdn.prod.website-files.com/677fb6700bc256b79d7d015f/67a0d55235757369e0521a4e_table-cross.svg) ![](https://cdn.prod.website-files.com/677fb6700bc256b79d7d015f/67a0d552e719a62561867676_table-check.svg) ![](https://cdn.prod.website-files.com/677fb6700bc256b79d7d015f/67a0d55235757369e0521a4e_table-cross.svg) ![](https://cdn.prod.website-files.com/677fb6700bc256b79d7d015f/67a0d55235757369e0521a4e_table-cross.svg) ![](https://cdn.prod.website-files.com/677fb6700bc256b79d7d015f/67a0d55235757369e0521a4e_table-cross.svg) ![](https://cdn.prod.website-files.com/677fb6700bc256b79d7d015f/67a0d552e719a62561867676_table-check.svg) ![](https://cdn.prod.website-files.com/677fb6700bc256b79d7d015f/67a0d552e719a62561867676_table-check.svg) ![](https://cdn.prod.website-files.com/677fb6700bc256b79d7d015f/67a0d55235757369e0521a4e_table-cross.svg) ![](https://cdn.prod.website-files.com/677fb6700bc256b79d7d015f/67a0d55235757369e0521a4e_table-cross.svg) This comparison is a general overview — some private offline programs or advanced academic degrees may offer more than what’s listed here. However, the table provides a fair look at the different paths into a data science career. Admission process 01 Strong theoretical foundations - Understanding from the ground up of core ML principles. - Specialized courses (6–14 weeks) covering topics from ML foundations to advanced, state-of-the-art applications. 02 Practical experience through real-world projects - Full-cycle data science project in the industry. - Experience working with real data in real industry environments. - Proven industry experience. 03 Extensive hands-on practice - Learning through hands-on application of common tools and concepts. - Weekly coding assignments for in-depth understanding. 04 Community and networking - Access to our active community of graduates and industry mentors. - Career and innovation opportunities — meeting industry insiders. 05 Fluency in Python and all common DS tools and methods - Python basics: Scikit-learn, pandas, matplotlib, numpy and more. - Extensive experience in neural networks and their applications in NLP and computer vision, up to and including generative models. 06 Selective admission process to create a winning team - Diverse student community where people learn from each other and find opportunities. - Strict entry prerequisites for a solid starting position and quick progress. admission scheme We ensure a motivating and supportive learning environment through a careful selection process. To achieve results, we make sure our candidates have the time and ability to succeed in the intensive program we offer. 01 Application The application steps are the same for all tracks — just choose the one that best fits your learning goals. Submit your application by filling the form. You will receive an email providing further information about the test and the following stages of the process. 02 Online test Take an online test assessing your analytical and programming skills. 03 Interview Meet the team in person or online and tell us more about your background, experience, and interests, as well as your motivation and goals for the program. A few technical questions might be asked during the interview. feedback ![](https://cdn.prod.website-files.com/677fb6700bc256b79d7d015f/679a314f222da3aaefb65c1a_Vector%2012.svg) ![](https://cdn.prod.website-files.com/677fb6700bc256b79d7d015f/679a314e294bb48e01b0fd35_Vector%2012%20\(1\).svg) OUR PROJECTS Industry projects For bundle students only ![](https://cdn.prod.website-files.com/677fb6700bc256b79d7d015f/689c88776475576117240608_Clip%20path%20group%20\(1\).png) Global Text Edits & Feedback in Wordtune AI Writing Assistant ![](https://cdn.prod.website-files.com/677fb6700bc256b79d7d015f/689c8ac62fd61262d0d67a9c_Mask%20group%20\(2\).png) Population based book model ![](https://cdn.prod.website-files.com/677fb6700bc256b79d7d015f/67853366be5d0d974a1b4bd6_gong-logo.webp) Automated Slide Retrieval, Adaptation and Presentation Generation ![](https://cdn.prod.website-files.com/677fb6700bc256b79d7d015f/689c8ae3b2d09aa906de1390_asterra-logo-primary%201.svg) Anomalous SAR Image Detection ![](https://cdn.prod.website-files.com/677fb6700bc256b79d7d015f/689c8b11b0ff411b47b0c1a4_Asset-2%201.svg) PHI Detection in Medical Imaging (DICOM) ![](https://cdn.prod.website-files.com/677fb6700bc256b79d7d015f/689c8b4b0ff733ea0cb6ab03_C8Logo-horizontal%201.svg) AI-Powered Knowledge Enhancement for Hospitals ![](https://cdn.prod.website-files.com/677fb6700bc256b79d7d015f/689c8b6aa074282643a2fc50_Group%202087326777.png) Developing Fairness and Reliability Metrics in LLM Embedding Space ![](https://cdn.prod.website-files.com/677fb6700bc256b79d7d015f/6785336619665507a8e1e929_compugen.webp) Cellular insights into Tertiary Lymphoid Structures via single-cell and spatial omics ![](https://cdn.prod.website-files.com/677fb6700bc256b79d7d015f/689c8ba360c27b531d8f1eb1_Group%202087326778.png) Time to Cancel Prediction ![](https://cdn.prod.website-files.com/677fb6700bc256b79d7d015f/678533668c0097c05a225602_image%2033.webp) Text-to-SQL Conversion for WAF Data Analysis ![](https://cdn.prod.website-files.com/677fb6700bc256b79d7d015f/689c8bd10f95d1b48683afd9_loris-logo%201.svg) Entity & Sentiment Extraction for Support Conversations ![](https://cdn.prod.website-files.com/677fb6700bc256b79d7d015f/689c8bdf94a71541fbe7ff3f_passportcard%201.svg) Medical procedure extraction from documents ![](https://cdn.prod.website-files.com/677fb6700bc256b79d7d015f/689c8befd96c6edd6d084bd6_Stellantis%201.svg) Enhancing ETA and energy consumption prediction through driving pattern analysis ![](https://cdn.prod.website-files.com/677fb6700bc256b79d7d015f/6798bebea9a5b4853c9a0db3_citrusx%20logo.webp) A comparative analysis for xai methods package ![](https://cdn.prod.website-files.com/677fb6700bc256b79d7d015f/678533668c0097c05a225602_image%2033.webp) Automatic product comprehension with llms ![](https://cdn.prod.website-files.com/677fb6700bc256b79d7d015f/6798bebe4bb5b53988f5e3f4_Fido%20logo.webp) Document validation and extraction ![](https://cdn.prod.website-files.com/677fb6700bc256b79d7d015f/6798bebe4bb5b53988f5e3fe_laguna%20logo.webp) Text clustering for care management quality performance ![](https://cdn.prod.website-files.com/677fb6700bc256b79d7d015f/67853366e86ab8054538c0b1_Grin_Logo_Blue_copy.webp) Grinvision foundation model ![](https://cdn.prod.website-files.com/677fb6700bc256b79d7d015f/67853366de2e7065df0bd520_pangea%20biomed%20logo1.webp) Genomic profile representation for prediction of drug response ![](https://cdn.prod.website-files.com/677fb6700bc256b79d7d015f/6798bebe818843b7e0aaaafb_\(unicell\)%20smoove%20logo.webp) Generative creation of newsletter campaigns ![](https://cdn.prod.website-files.com/677fb6700bc256b79d7d015f/678533668c0097c05a225602_image%2033.webp) Client application classification using exposed information ![](https://cdn.prod.website-files.com/677fb6700bc256b79d7d015f/6798bebe777c1a72caa0b34a_image%2031.webp) Behavioral cross-session user identification ![](https://cdn.prod.website-files.com/677fb6700bc256b79d7d015f/678533668c0097c05a225602_image%2033.webp) SQL injection detection in real time ![](https://cdn.prod.website-files.com/677fb6700bc256b79d7d015f/6798bebe4bb5b53988f5e3fe_laguna%20logo.webp) Healthscope: medical classification and contextual analysis ![](https://cdn.prod.website-files.com/677fb6700bc256b79d7d015f/6798bebe818843b7e0aaaafb_\(unicell\)%20smoove%20logo.webp) Content recommendation engine for emails Team ## Our team ![](https://cdn.prod.website-files.com/67ca833686ac243fe04bc5a7/67cabbea9d8090210c4986c8_rectangle-34-67ca861b9f617.webp) Elena Bunina Professor, Department of Mathematics, Bar Ilan University, Member of Nebius Board of Directors Read More ![](https://cdn.prod.website-files.com/67ca833686ac243fe04bc5a7/67cac20620ef4a4c2399c9aa_orig-67cac1e3189d5.webp) Dr. Inbar Huberman PhD from The Hebrew University of Jerusalem Read More Dr. Inbar has just finished her PhD at the Hebrew University of Jerusalem, her research is focused on image processing and machine learning. Inbar received her Ms.c in computer science from the Hebrew University and her Bs.c in applied mathematics from Bar-Ilan University, both graduated cum laude. She published several papers in computer vision top-tier conferences. During her PhD studies, she was titled best teacher assistant. ![](https://cdn.prod.website-files.com/67ca833686ac243fe04bc5a7/67cac01d5d4ec79d6b6aa246_afc663_ea1a963033e24.jpg) Karin Brisker Data Scientist at Microsoft Israel Read More Karin Brisker is a data scientist at Microsoft, with a background in NLP and machine learning. She began her journey developing AI-driven solutions for the healthcare domain, and now focuses on cybersecurity, building data-driven tools to enhance organizational protection. Karin holds an M.Sc. from the NLP Lab at Bar-Ilan University. ![](https://cdn.prod.website-files.com/67ca833686ac243fe04bc5a7/67cac22e4e262206e872fa14_orig.jpg) Kosta Rozen Product Analytics Team Lead at Google Read More Kosta holds a B.Sc and M.Sc. in Industrial Engineering and Management from Ben Gurion Universirty (Summa Cum Laude both). He won several academic awards and scholarships, and has published multiple research papers in academic journals, including best paper of 2018 in IEEE Transactions on Semiconductor Manufacturing. Kosta is also a Certified Scrum Master and Project Management Professional (PMP). In his role as Product Analytics Lead at Waze, Kosta uses data to improve every aspect of Waze - one of most popular navigation apps in the world. Before joining Waze, Kosta worked as a Data Scientist at Intel and as a Lecturer at Ben Gurion University. ![](https://cdn.prod.website-files.com/67ca833686ac243fe04bc5a7/67cac26c527f4e0555bece58_orig%20\(1\).jpg) Lior Sidi Co-Founder & CTO at stealth startup Read More Lior has years of experience and works closely with companies to improve their product and operations using data science. He co-founded Braincast to help product managers to make impactful decisions by explaining causality in meaningful events. Lior holds BSc and MSc in software and information engineering department from Ben Gurion University, where he researched the appliance of deep learning, embedding, and adversarial learning in the fraud and cybersecurity domains. ![](https://cdn.prod.website-files.com/67ca833686ac243fe04bc5a7/67cac30117f331beb22e2a5d_orig%20\(2\).jpg) Noa Lubin Director of Data Science at Fido Read More Noa is a Data Scientist, currently working as Director of Data Science at Fido. Formerly worked as a researcher at NASA, at Diagnostic Robotics, Amazon, Elbit and IAI. Her main topics of specialisation and focus are NLP, healthcare and space. Noa is an AI leader, social entrepreneur, lecturer and space enthusiast. Volunteering as CTO at Tod’aers - combining AI and space research for sustainable technological developments. Previously worked as Machine Learning Team Lead at Diagnostic Robotics, at Amazon, NASA, Elbit Systems and the Israeli Aerospace Industry. Computer Science Master's degree, Bar-Ilan University (Magna Cum Laude), NLP thesis advised by Prof. Yoav Goldberg. Electrical Engineering Bachelor's degree, Technion (Summa Cum Laude). ![](https://cdn.prod.website-files.com/67ca833686ac243fe04bc5a7/67cac33d20ef4a4c239b3919_orig%20\(3\).jpg) Dr. Omri Allouche Head of Research at Gong.io, Data Scientist and Lecturer Read More Dr. Omri Allouche heads the Research department at Gong.io, helping sales organizations improve their performance by providing actionable, data-driven insights using machine learning. He also teaches Applied Data Science at Bar Ilan University. Omri holds a Ph.D. in Computational Ecology from the Hebrew University (cum laude). He won several academic awards and scholarships, including the Clore fund, and his research papers had been cited over 2,000 times. ![](https://cdn.prod.website-files.com/67ca833686ac243fe04bc5a7/67cea105d8d96e1a1a8946c1_orig%20\(7\).jpg) Segev Arbiv Principal Data Scientist at SimilarWeb, Mentor and Lecturer Read More Segev Arbiv is a Data Scientist with expertise in the fields of Machine Learning and Computer Vision. He has a BSc. in Electrical Engineering from the Technion, and pursuing an MSc in these fields. During the last few years, Segev is working at SimilarWeb in which he applies Deep Learning techniques and various statistical inference tools to overcome day to day challenges, such as NLP and estimations. Prior to that, he was a researcher in the Image Processing\\Computer Vision fields at AOL. Segev is passionate about everything related to numbers, lecturing and interacting with other passionate personas. ![](https://cdn.prod.website-files.com/67ca833686ac243fe04bc5a7/6841c48b20d32066cbd9a882_tomer-gazit-picture-1-6841c3ca7e228.webp) Dr. Tomer Gazit Data Science Team Lead at Hello Heart Read More Dr. Tomer Gazit is a machine learning and AI researcher, manager, and consultant specializing in the medical domain. He helps organizations develop tailored data science solutions to clinical and operational challenges. He currently leads the Clinical Data Science team at Hello Heart, where he develops predictive models for heart-related diagnoses, integrating tabular data, time series and generative AI. Previously, he led the Brain Informatics and Imaging Research Lab at Tel Aviv Sourasky Medical Center (Ichilov) where his work focused on time series and neuroimaging tools for neurological diagnosis and translational neuroscience. Tomer holds a PhD in Neuroscience from Bar-Ilan University and a BSc in Mathematics and Psychology from the Hebrew University of Jerusalem. ![](https://cdn.prod.website-files.com/67ca833686ac243fe04bc5a7/6841c69aa69a230a7aabeaa4_serj-%20picture.jpg) Serj Smorodinsky Data Science Team Lead at Loris.ai Read More Serj Smorodinsky is a data science team lead with deep expertise in NLP, AI evaluation, and agentic workflows. He specializes in building intelligent systems combining Deep learning, LLMs, retrieval architectures, and interpretable rule-based models. Serj brings strong software engineering skills and a production-focused mindset, ensuring scalable, testable, and maintainable AI solutions. His approach bridges experimental research with real-world deployment, emphasizing reliability and continuous evaluation. Partners popular questions How does the application process work? ![](https://cdn.prod.website-files.com/677fb6700bc256b79d7d015f/6787a2c035492379bd455cc6_Frame%2014.svg) The application process consists of three steps. First, candidates apply online through our website. Second, candidates take an online test. The test assesses analytical and basic programming skills and contains undergraduate level statistics and probability questions, data analysis questions, and short coding challenges (candidates can select from a few popular programming languages that our platform supports). The test must be completed within three and a half hours. We will offer separate four-day windows for candidates to take the online test during the application process. Candidates who pass the test will be invited to an in-person interview with our team. The interview is an opportunity for us to learn more about each candidate’s background, experience, and interests. What level of math knowledge is expected from the candidates? ![](https://cdn.prod.website-files.com/677fb6700bc256b79d7d015f/6787a2c035492379bd455cc6_Frame%2014.svg) What level of statistics and probability knowledge is expected from the candidates? ![](https://cdn.prod.website-files.com/677fb6700bc256b79d7d015f/6787a2c035492379bd455cc6_Frame%2014.svg) We assume our students have at least a bachelor's STEM degree or its equivalent. We, therefore, expect all the candidates to have full knowledge of the first-year university-level material in probability and statistics. You may want to review basic topics in those subjects before taking our online test. During the program, we won’t teach these topics from scratch, but we will provide a quick recap before diving into the more advanced topics required for later ML courses. What level of coding skills is required to enter the program? Do you require knowledge of specific languages? ![](https://cdn.prod.website-files.com/677fb6700bc256b79d7d015f/6787a2c035492379bd455cc6_Frame%2014.svg) We require some experience in at least one of the common programming languages and an understanding of common data structures. Programming tasks make up a large portion of the online test and require an existing programming background. During the program itself, the courses and home assignments will be in Python. Candidates should have a basic knowledge of Python before taking the test. Some potential resources for people with no prior Python knowledge to get started include: - [Programming for Everybody](https://www.coursera.org/learn/python?specialization=python) (Getting Started with Python) - [Python Data Structures](https://www.coursera.org/learn/python-data?specialization=python) - [Python Essential Training](https://www.linkedin.com/learning/python-essential-training-18764650) Can I apply with zero coding experience? ![](https://cdn.prod.website-files.com/677fb6700bc256b79d7d015f/6787a2c035492379bd455cc6_Frame%2014.svg) Candidates without any coding experience won’t be able to take part in our program. If you have no coding experience but want to get started in this field, we recommend beginning with online coding courses and building a basic foundation in Python before applying to our program. What is the time commitment for this program? Can I combine it with work or academic studies? ![](https://cdn.prod.website-files.com/677fb6700bc256b79d7d015f/6787a2c035492379bd455cc6_Frame%2014.svg) We offer 8 weekly hours of lectures, in addition to 20–25 hours of independent work on assignments and projects. We advise participants to keep at least one full weekday free in order to get the most from the program. What is the cost of the program? ![](https://cdn.prod.website-files.com/677fb6700bc256b79d7d015f/6787a2c035492379bd455cc6_Frame%2014.svg) AI-Powered Data Science Track: NIS 12,500 What is the language of the program? ![](https://cdn.prod.website-files.com/677fb6700bc256b79d7d015f/6787a2c035492379bd455cc6_Frame%2014.svg) The program is taught in English in its entirety. We have international students and faculty, and thus expect all our students to be fluent in English. Where does the program take place? ![](https://cdn.prod.website-files.com/677fb6700bc256b79d7d015f/6787a2c035492379bd455cc6_Frame%2014.svg) Our classes take place in Tel Aviv, at the TAU campus. You can also join online. Is there a referral program? ![](https://cdn.prod.website-files.com/677fb6700bc256b79d7d015f/6787a2c035492379bd455cc6_Frame%2014.svg) Most of our students hear about the courses through friends and colleagues — and we’re proud of that. To thank our community, we offer a referral program that lets our students and graduates recommend AI-Powered Data Science to prospective applicants — and receive rewards in return. Referred applicants get a 5% tuition discount, and the referrer receives a ₪500 gift card once the student pays and completes the first month. Full details are available in the [Referral Program Policy](#). What is Nebius? ![](https://cdn.prod.website-files.com/677fb6700bc256b79d7d015f/6787a2c035492379bd455cc6_Frame%2014.svg) Nebius builds vertically integrated AI infrastructure that accelerates AI innovation globally and at scale. Headquartered in Europe, listed on Nasdaq, and operating globally, the company has already won Israel’s national call for proposals to make large-scale AI training more accessible and affordable for startups, enterprises, and researchers. Nebius is also the founder of Nebius Academy. Our students can explore Nebius tools, benefit from the company’s AI expertise, and gain from its collaborations with universities and researchers that combine academic depth with industry practice. What is Nebius’ role in AI education? ![](https://cdn.prod.website-files.com/677fb6700bc256b79d7d015f/6787a2c035492379bd455cc6_Frame%2014.svg) At Nebius, we believe AI should be both powerful and accessible. To drive innovation, we invest in programs for developers, engineers, tech leaders, and managers who want to master AI skills. As the founder of Nebius Academy, Nebius continues to prepare the next generation of AI professionals. Students can explore Nebius tools, benefit from the company’s expertise, and gain from its collaborations with universities and researchers that bring together academic and industry perspectives. Cookie Settings Cookies necessary for the correct operation of the site are always enabled. Other cookies are configurable. Thank you! Your submission has been received! Oops! Something went wrong while submitting the form.