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strong interest in machine learning/artificial intelligence. You have experience with deep learning. You have experience with reinforcement learning (preferred). You have experience with explainable and/or
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and cooperation. You have a strong interest in machine learning/artificial intelligence. You have experience with deep learning. You have experience with reinforcement learning (preferred). You have
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and cooperation. You have a strong interest in machine learning/artificial intelligence. You have a strong interest in graph-based learning (e.g., graph neural networks). You have experience with deep
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. You have a strong interest in machine learning/artificial intelligence. You have experience with deep learning. You have experience with reinforcement learning (preferred). You have experience with
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networks). You have experience with deep learning. You have experience with coding in Python using deep learning toolkits (e.g., PyTorch). You have good analytical and problem-solving abilities. You are
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programming languages (Python or C++), machine learning/deep learning, computational chemistry and polymer chemistry is an advantage. You have a good knowledge of English, both oral and written. Your research
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Luxembourg. The successful candidate will join the Security, Reasoning and Validation (Serval) research group and work on a research project related to the application of machine learning for official
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that do not have this background, are strongly motivated to acquire the relevant skills during the early phases of the PhD, supported by training and in close collaboration with experts in single-cell
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, computational biology, statistics or a closely related field. You have strong programming skills, preferably in Python, and experience with machine learning or deep learning. Experience in computer vision
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chapters, and shorter contributions such as blogposts. Some of these will be co-authored pieces with the principal investigator (Prof Van Calster), the postdoc and other team members. Contribution