36 programming-"the"-"DAAD"-"U"-"IMPRS-ML" positions at Radboud University in Netherlands
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and tutorial sessions in courses on introductory and advanced Machine Learning within the Neurophysics Master’s degree programme at Radboud University. Your teaching load may be up to 10% of your
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Babies have so much to learn in such a
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you an enthusiastic young
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. Ideally, you have experience with lasers and/or spectroscopy and programming (i.e. Matlab, LabView/Python). You are a highly motivated, enthusiastic, critical, communicative, creative and team-oriented
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or a related field. You possess solid knowledge of core web technologies. You have solid experience in Python and JavaScript programming languages. You preferably have experience with building and using
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of RIBES. Does this sound like you? Essential Qualifications You hold a PhD degree in Bioinformatics, Computational Biology, Plant Genomics or a related field. You possess strong programming skills. You have
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membership. In addition, you receive a 34% discount on the sports and cultural activities at Radboud University as an employee. And, of course, we offer a good pension plan. We also give you plenty of room and
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intelligence, computer science, or a related discipline. You possess strong programming skills, particularly in Python, and have experience with common machine learning libraries (e.g. PyTorch, TensorFlow). You
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receive a 34% discount on the sports and cultural activities at Radboud University as an employee. And, of course, we offer a good pension plan. We also give you plenty of room and responsibility to develop
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robotic systems and AI models. You will learn how to programme advanced robotic systems and how to implement aspects of deep learning and neural networks for chemical property prediction. You will be part