117 computer-programmer-"Prof"-"Embry-Riddle-Aeronautical-University"-"Prof" positions in France
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(FSTM) 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
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expression, RNA biology, epigenetics, or viral infections is encouraged Who Should Apply • Junior or consolidating researchers with a strong publication record and an ambitious research program. • Candidates
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mathematics for Grade 1 in the frame of the Luxembourgish School Monitoring Programme - Épreuves Standardisées (ÉpStan). At LUCET, you will work in a collaborative and research-driven environment, contributing
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The IT Project Manager plays a key role in driving digital initiatives within the Department of Medical Informatics (DMI) at the Luxembourg Institute of Health. Operating under the IT Strategy
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available to work on computational models of artificial evolution for aptamer design, expected to start between November 2025 and February 2026. Aptamers are often obtained through rounds of in vitro
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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fields for several applications in the field of computer vision and inverse problem [SLX+21]. As far as the modeling of data term between distributions is concerned, one idea would be also to follow
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and international partners (e.g. plan and coordinate meetings, deliverables, joint activities, information exchange) Ensure compliance to and prepare ethics requests, GDPR, DPIA and other documents
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genetics, genomics, imaging processes, computational biology and biochemistry. Our goal is the deep and detailed understanding of fundamental mechanisms in plant biology that may then also be used to develop
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Master/engineer degree in computer science, applied mathematics, data science with background in image processing, imaging inverse problems, deep learning and optimisation. Good coding skills for numerical