44 machine-learning "https:" "https:" "https:" "https:" "The Open University" positions at University of Amsterdam (UvA)
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specifically, do you want to perform cutting-edge research and develop novel advances in hyperbolic deep learning for computer vision? Then check out the vacancy below and apply for a PhD position in this
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differences in learning, memory, and processing between these systems. This project develops the necessary methods to study how smart AI-models are compared to people, now and in the future, and sheds light on
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vision, machine learning, and related fields Lead and contribute to multidisciplinary projects with clinicians, scientists, and industry partners. Secure funding, publish in leading journals, and present
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artificial intelligence, computer science, engineering, mathematics, physics, or a related discipline Demonstratable background in machine learning, information retrieval or natural language processing
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them at (inter)national conferences. What do you have to offer You are: Curious, creative, and interested in learning from different disciplines Familiar with quantitative data analysis in social
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machine learning for fundamental physics. Want to know more about our organisation? Read more about working at the University of Amsterdam. If you feel the profile fits you, and you are interested in
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to follow from our Teaching and Learning Centre; multiple courses on topics such as leadership for academic staff; multiple courses on topics such as time management, handling stress and an online learning
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sciences, such as programming, machine learning, and natural language processing. The Business Analytics Section is seeking a lecturer with expertise in Applied Artificial Intelligence, focusing
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teach in the Master's programme in Health Law. The research conducted by the members of the section is housed at the LHL. Law for Health and Life strives to understand how legislation, regulations and
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qualification) in AI (e.g., machine learning, natural language processing or computer vision); A strong scientific track record, documented by publications at first-tier conferences and journals (e.g., NeurIPS