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Applications should contain: Cover letter, to be addressed to Prof. Michael Heneka CV, including periods of absence from work such as family-related leave and career breaks Statement of future research, teaching and other activities (max. 5 pages) Short description of the three most important...
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The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The Faculty of Science, Technology and Medicine (FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics,...
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, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services & Applications. Your role Are you passionate about cutting-edge research in Computer Vision and Artificial
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Are you passionate about cutting-edge research in Computer Vision and Artificial Intelligence? Our research group CVI2 - Computer Vision, Imaging and Machine Intelligence, headed by Prof. Djamila
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the field of Systems Biology and Biomedicine - in the lab, in the clinic and in silico. We focus on neurodegenerative processes and are especially interested in Alzheimer's and Parkinson's disease and their
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with the nano-drones of the University’s SwarmLab The research activities will be hosted by the Parallel Computing and Optimisation Group (PCOG) at SnT, headed by Prof. Grégoire Danoy. PCOG conducts
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bioinformatics for immunology research programs. You'll work at the cutting edge of AI-enhanced immunology, applying deep learning, foundation models, and advanced machine learning approaches to understand how
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, through the incorporation of LLM / AI tools for optimisation of industrial processes, resource efficiency and energy consumption, in view of decarbonisation and competitiveness, would strongly complement
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resources and soils with different techniques (passive samplers, autosamplers, continuous probes) Processing of samples in the laboratory Evaluating analytical results, calculating loads and substance flows
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coordination and process optimization, accompany the doctoral experience to enhance candidate satisfaction and the university’s reputation, and drive change initiatives to improve procedures, processes and