24 associate-professor-computer-"https:"-"https:" Postdoctoral positions in Luxembourg
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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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engineering practices for machine learning Tabular machine learning Large language models on structured and semi-structured data Research Associate Role: Under the direction of their supervisor, the candidate
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Participate in teaching and supervision activities, in line with the candidate’s profile and interests The research activities will be hosted by the Parallel Computing and Optimisation Group (PCOG) at SnT
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identified novel epithelial cell states and distinct cancer-associated fibroblast subpopulations. The primary research focus will be to define how fibroblasts from healthy colon tissue transition into distinct
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disorder (RBD). Newly discovered molecular targets and disease-associated cellular phenotypes are used as readouts in drug screening approaches, to identify molecules that, after in vitro and in vivo
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We offer an attractive research associate position in the context of the project M etamo rphic Secur ity T esting A ssisted by L LMs (MORTAL), which is supported by the Competence Hub in Research in
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Applications should include: Curriculum Vitae Cover letter detailing your motivation for applying to the advertised research topic and/or project, including how your background, interests, and career goals align with its objective PhD diploma or a letter/information indicating the expected...
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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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The human microbiome represents a reservoir of pathogen-associated genes, more specifically virulence factors (VFs), including toxins, antimicrobial resistance genes (ARGs) and biosynthetic gene
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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