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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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of temperature and drought at the transcriptome and phenotype level. Your task will be to develop novel methodology to integrate these datasets, using a combination of mechanistic models and machine learning
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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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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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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