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candidates in the general area of machine learning and radio resource allocation for emerging wireless networks within its Signal Processing and Communications (SIGCOM) research group. SnT carries out
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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 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 successful candidates will join the Computer Vision, Machine Intelligence and Imaging (CVI2 ) headed by Prof. Djamila Aouada. He/she will carry out research in computer vision and machine learning, with
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that leverages an unprecedented corpus of newspaper and radio archives, and uses machine learning to pursue a paradigm shift in the processing, semantic enrichment, representation, exploration and study of
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. The LCSB recruits talented scientists from various disciplines. Computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work
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Artificial intelligence, machine learning Natural Language Processing is a plus (but not mandatory) Language Skills: Fluent written and verbal communication skills in English are mandatory. French is an asset
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field High level of motivation for research, attention to detail, scientific creativity, and writing skills Languages skills: fluent in English Proficiency in machine learning and large omics data
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interested in Alzheimer's and Parkinson's disease and their contributing factors. The LCSB recruits talented scientists from various disciplines: computer scientists, mathematicians, biologists, chemists