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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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learning force fields (MLFF) for molecular dynamics simulation of systems sizes ranging from ~1000 to 100.000 atoms while preserving the predictive power of first-principles modeling. Moreover
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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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interoperability to advance precision medicine for treatment decisions. To learn more about the CLINNOVA project and its objectives, visit: https://www.uni.lu/fr/news/clinnova-to-launch-precision-medicine-initiative
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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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Education. The University`s core asset is its well-connected world-class academic staff which will attract the most motivated, talented and creative students and young researchers who will learn to enjoy
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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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who will learn to enjoy taking up challenges and develop into visionary thinkers able to shape society. The Faculty of Law, Economics and Finance offers three Bachelor programmes, four Master programmes