128 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions in Luxembourg
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administrations, including eBus Competence Center, Emile Weber, GomSpace, Gradel, IEE, Nexxtlab, Telindus, and Ville de Luxembourg. For more information on the ATLAS IPBG Programme, see here: https://edu.lu/wwpy7
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strong sense of responsibility. Where to apply Website https://www.lih.lu/en/job/?value=JA/PD0226/RK/BIOINFO Requirements Research FieldComputer science » InformaticsEducation LevelPhD or equivalent
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understand, explain and advance society and environment we live in. Your role The University of Luxembourg invites applications for a fully funded Ph.D. position in machine-learning force fields (MLFFs
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training covering topics such as computational modelling, numerical methods, statistical analysis, machine learning or data-driven analysis of complex systems Experience 0–3 years of postdoctoral experience
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/admittance, force control Experience with Artificial Intelligence and deep learning concepts for robotics computer vision, tactile sensing, reinforcement learning Experience with robotic simulation tools e.g
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wireless communications systems. For details, you may refer to the following: https://wwwen.uni.lu/snt/research/sigcom The successful candidate is expected to perform the following tasks: Design, analyse and
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will be working in the Institute of Teaching and Learning, within the Department of Education and Social Work. The person will be part of a dynamic organisational context of a growing, globally connected
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wireless communications systems. For details, you may refer to the following: https://wwwen.uni.lu/snt/research/sigcom We’re looking for people driven by excellence, excited about innovation, and looking
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machine learning technologies in order to provide evidence-based decision support tools in near real time across a variety of thematic domains: disaster risk reduction, sustainable agri-food systems
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seeking a Maître-Assistant (Research Scientist; teaching position) in Teaching and Learning Languages in pre- and primary school to join its team. A special focus should be on Teaching Children’s and Youth