16 computer-programmer-"https:"-"https:"-"UNIS"-"https:"-"https:"-"https:"-"https:"-"UNIV" Postdoctoral positions in Luxembourg
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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 multidisciplinaryexpertisein the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission of teaching and
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2027 - 04:15 (UTC) Country Luxembourg Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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Successful candidate will join the Clinical and Translational Informatics, led by Dr. Venkata Satagopam, which focuses on bridging translational medicine and bioinformatics through innovative data
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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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to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services
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centre of the University of Luxembourg, combining experimental, medical and computational approaches to analyze complex biological systems and disease processes. In this frame, the Medical Team aims
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The FACTS project is a successfully funded applied research project developing a new generation of compact, fast thermal sensing devices for demanding industrial and research environments. The work builds on an established platform and focuses on measurable performance gains, traceable...
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letter - addressing the following questions: (1) How does your background relate to the position? (2) How do you plan to contribute to the research project? (3) How does the position relate to your
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technologies (fiber-optic sensors, DIC), and computer science (machine learning tools) in collaboration with de department of Physics. The aim of the BriCE project is to develop a novel bridge monitoring