22 computer-science-programming-languages-"the"-"U"-"FEMTO-ST-institute"-"O.P"-"Prof" positions at Nature Careers 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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natural language. MARIANNE is an Inria joint project-team with the I3S (Computer Science) laboratory of Université Côte d’Azur and CNRS. The team is composed of computer scientists, but it holds a strong
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interdisciplinary, and together we contribute to science and society. Your role Interact with research groups in Luxembourg in the context of ELIXIR Luxembourg to consult and perform joint research Plan and conduct
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). The METAMIC 3 project will embed Doctoral Candidates (DCs) in a unique training environment to advance microbiome science through metaproteomics. The program addresses One Health challenges by integrating
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in all areas · Personalized learning programme to foster our staff’s soft and technical skills · Multicultural and international work environment with more than 50 nationalities
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-source tools and has a long history in coupling natural language techniques and knowledge graphs. The R&D programme for that position includes several tasks: Generalize and abstract the bot from specific
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Epidemiology, Public Health, Health Data Science, or a related field. Applicants should be enrolled in a Master program and the internship should be a mandatory part of the diploma. Experience with R
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-intensive PhD training programme, supported by the PRIDE funding scheme of the Luxembourg National Research Fund (FNR) and the programme's partner institutions: University of Luxembourg, Luxembourg Institute
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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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Artificial Intelligence (applied mathematics, computer science, etc.), or a thesis defense scheduled for 2025. • Research contributions in deep learning, statistical learning, natural language processing (NLP