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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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) 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 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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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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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
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may help to mitigate and prepare for such space weather events. Recently, the use of machine learning for improved space weather forecasting has gained in importance. The Luxembourg-based company
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machine-learning and AI approaches. The (Bio)Informatician will interact with scientific researchers, post-doctoral fellows and research technicians of the different groups at the LCSB to explore and