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position within a Research Infrastructure? No Offer Description Are you interested in building state-of-the-art machine learning systems for the most complex, and fastest growing, transportation network in
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for the broad application of the material in industry. The role of the TCP group, led by Prof. Alexandre Tkatchenko from the University of Luxemburg, is to develop reliable, efficient, and accurate machine
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The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The University was founded in 2003 and counts more than 6,700 students and more than 2,000 employees from around the world. The University’s faculties and...
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) that can benefit either from: (i) continual learning, and (ii) spiking neural networks implemented in neuromorphic processors. Design and develop the machine learning algorithms able to provide a good
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the University of Luxemburg, is to develop reliable, efficient, and accurate machine learning force fields (MLFF) for molecular dynamics simulation of systems sizes ranging from ~1000 to 100.000 atoms while
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The junior group in Imaging AI develops applied AI research focused on biomedical signal analysis and medical image computing. The general aim of the group is translating bleeding edge algorithms from fundamental AI and imaging research closer to a concrete biomedical application. We are looking...
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position within a Research Infrastructure? No Offer Description Amazon is looking for a passionate, talented, and inventive applied scientist with Machine Learning and optionally Search background to join
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in applied machine learning, including but not limited to deep learning Interest in image analysis / computer vision and pattern recognition, including but not limited to biomedical applications, in
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(Python, MATLAB) Interest in applied machine learning, including but not limited to deep learning Interest in image analysis / computer vision and pattern recognition, including but not limited
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degree in computer science or related discipline Strong interest in applied machine learning, including but not limited to deep learning Strong interest in image analysis / computer vision and pattern