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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 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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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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and optimization, we use tools such as artificial intelligence/machine learning, graph theory and graph-signal processing, and convex/non-convex optimization. Furthermore, our activities
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and optimization we use tools such as artificial intelligence/machine learning, graph theory and graph-signal processing, and convex/non-convex optimization. Furthermore, our activities
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of at least one high-level programming language (e.g. Java, C/C++) and one scripting language (e.g. Perl, Python) Knowledge of Linux/Unix Knowledge of quantum networking, data mining, machine learning
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research and information systems engineering. The group conducts research on the application and the impact of digital technologies like DLT/Blockchain, Digital Identities, Machine Learning/AI, and IoT/5G
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... The expected PhD candidate should have: A Computer Science background Expertise in Machine Learning, Deep Learning Good programming skills (python, Java…) Fluent written and verbal communication skills in