26 high-performance-computing-"https:"-"CIPMM---Systemic-Neurophysiology"-"https:" Postdoctoral positions in Luxembourg
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provides high-performance GPU computing resources that support the design and training of advanced AI models. The research agenda of CVI2 focuses on cutting-edge topics such as 3D understanding and
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on neurodegenerative processes and are especially interested in Alzheimer’s and Parkinson’s disease and their contributing factors. The LCSB recruits talented scientists from various disciplines: computer scientists
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) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission of teaching and
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research results in leading international conferences and journals in machine learning, computational biology, and AI for science The postdoc will work at the interface of machine learning, genomics, and
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understand, explain and advance society and environment we live in. The successful candidate will be employed at the Department of Computer Science of the University of Luxembourg and have access to high
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role The selected candidate will be part of an European consortium of clinicians, biologists and computational scientists that aims to personalize high-dose glucocorticoid therapy in children with acute
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that positively impact society. For more information, please visit our website: https://wwwen.uni.lu/snt/research/finatrax/ . The candidate will be funded through an industry partnership with Luxembourgish Leader
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builds on an established platform and focuses on measurable performance gains, traceable calibration, and demonstrated stability under realistic operating conditions, with a clear route to industrial
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activities, including the design and implementation of novel methods, experimental evaluation, and dissemination of results through high-quality scientific publications. Beyond technical contributions, you are
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, particularly those affected by REM sleep behavior disorder (RBD), a high-risk group for developing PD. Using cutting-edge technologies including iPSC-based dopaminergic neuron modeling, single-cell