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-class researchers from various fields, including neurophysiology, computational neuroscience, auditory cognition, genetics and genomics, cell biology and gene therapy. Most teams associate fundamental
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The candidate will have a PhD or equivalent degree in bioinformatics, biostatistics, computational biology, machine learning, or related subject areas Prior experience in large-scale data processing and
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activities Present results in international conferences and workshops Your profile A PhD degree in Computer Science, Physics or a related field Strong background in understanding plasma physics and
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PhD degree in Computer Science, Physics or a related field Experience with parallel programming models Strong programming skills in C/C++ and/or Python Knowledge of distributed memory programming with
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Sciences (FHSE) at the University of Luxembourg brings together expertise from the humanities, linguistics, cognitive sciences, social and educational sciences. People from across 20 disciplines are working
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, and molecular evolution. The researcher will work within an international team to understand the evolution of integrons and other hyper-mobile regions in genomes. The focus will be on functional
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SLICES-FR research infrastructure- Communicate results through presentations, conference papers, and project reportsProfile and skillsThe R&D Engineer must already hold a PhD degree in Computer Science
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About the FSTM The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The Faculty of Science, Technology and Medicine
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-quality training and learning materials, and a sustainable plan. FSTM's main tasks are to contribute to the definition of the body of knowledge and competencies, assist in developing the skill tree used as
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Sciences (FHSE) at the University of Luxembourg brings together expertise from the humanities, linguistics, cognitive sciences, social and educational sciences. People from across 20 disciplines are working