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for innovation since the early days of machine learning. In particular, building on recent developments on VAE and diffusion models, we focus on the role of physics in generative models. In generative
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at the horizon, thanks to a decade of phenomenal progress in machine deep learning. However, the same video-AI is also accountable for self-driving cars crashing into pedestrians, deep fakes that make us believe
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battery costs can continue to decline along learning curves observed for many different technologies to date, and to find out whether the performance of batteries can be improved from a techno-economic
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to learning new skills or exploring new topics, and you have good communication skills. Your experience and profile Completed or soon-to-be completed MSc in the biological sciences or different fields in
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); multiple courses to follow from our Teaching and Learning Centre; a complete educational program for PhD students; a pension at ABP for which UvA pays two third part of the contribution; the possibility
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); demonstrated interest in AI reasoning systems, knowledge representation, context-aware pervasive computing, machine learning and data analysis, software engineering; good programming skills; high motivation in
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quality critical distributed data-centric computing systems with a specific focus on AI and machine learning-based approaches, research, develop, and validate scheduling, optimization, and adaptation
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to follow from our Teaching and Learning Centre; a complete educational program for PhD students; multiple courses on topics such as leadership for academic staff; multiple courses on topics such as time
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in this area include quantum field theory and string theory. You will do original research in this area, and learn from the journal clubs, seminars, and summer schools inside and outside the research
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learning and mechanistic modelling? We invite enthusiastic and dedicated candidates to join our cutting-edge research team as a PhD student to work on modelling plant life-history traits such as flowering