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researcher to work on systems theory for energy-based learning. What are you going to do? As a postdoctoral researcher, you will develop and analyse new algorithms for energy-based learning of complex systems
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researcher who enjoys developing methods for complex biological data and working closely with experimental scientists. You meet the following criteria: a PhD, or a PhD close to completion, in machine learning
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in both experimental and theoretical fields to enable you to learn and execute world-leading research. Job requirements A PhD degree in physics A PhD degree in electrical or mechanical engineering
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forums such as the Inter-Agency Space Debris Coordination Committee (IADC) and standardisation bodies such as ECSS and ISO. You are encouraged to visit the ESA website: https://www.esa.int/ Field(s) of
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the content of the science they study. You will be an active member of RCNP. You will collaborate with the other postdoctoral researchers, PhD candidates and senior investigators, participate in seminars and
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structure modeling in cancer immunotherapy design. Profile A — AI PhD in machine learning, computer science, computational science, or a related field. Strong experience with deep learning (e.g., PyTorch
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requirements We will consider applications based on the following skillsets. If you do not fullfil all requirements, please still apply (there is room for learning-on-the-job). A PhD in aerospace/mechanical
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Welcome to Maastricht University! You just finished your PhD trajectory and looking for the next step in
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Welcome to Maastricht University! You just finished your PhD trajectory and looking for the next step in your academic career? Your interests lie in the field of machine learning techniques
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across a range of application areas, including education and healthcare. As these systems are increasingly deployed in high-stakes environments, there is a growing need for machine learning models