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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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); 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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to follow from our Teaching and Learning Centre; a complete educational program for PhD students; multiple courses on topics such as time management, handling stress and an online learning platform with 100
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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
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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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results in leading international conferences, and help supervise Master students. Tasks and responsibilities: Conducting independent research in physics and machine learning, resulting in academic
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between Christmas and 1 January; Multiple courses to follow from our Teaching and Learning Centre; A complete educational program for PhD students; Multiple courses on topics such as leadership for academic