354 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "UCL" research jobs in France
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embedded in the Doctoral Programme in Complex Systems Science at the University of Luxembourg. The modelling approaches developed in this project share conceptual similarities with adaptive network and
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different sensory modalities such as vision, audition, haptics Plan and conduct empirical user studies, including experimental design, data collection, and analysis of factors such as immersion, presence
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will be embedded in the Computational Mechanics (Legato ) group and enrolled in the Doctoral Programme in Complex Systems Science. Depending on background and interests, the PhD may include: Development
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-reviewed journals, preferably in English and / or German Teaching in the study program Bachelor en Formation Pédagogique and possibly further study programs at the Department of Education and Social Work
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learning analysis of biomedical data and bioscientific programming for projects on neurological diseases. The candidate should have experience in the analysis of large-scale biomedical data (omics, clinical
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Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Horizon Europe Reference Number 2026-R0183 Is the Job related to staff position within a Research Infrastructure
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Ambition to publish or experience in publishing at A* level conferences Strong programming and problem-solving skills Analytical mindset, hard worker, and team player Experience in a research or industrial
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development studies Fluent in English and French, Luxembourgish and Portugues valued as well Experience in climate policy and/or implementation of climate programs Understanding of multilateral organizations
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, computational biology, bioinformatics, data science, or related fields Strong interest in clinical and biomedical data, translational research, and health informatics Experience with programming skills in Python
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novel machine-learning methodologies Excellent programming skills in Python and familiarity with modern ML tooling and reproducible research practices Experience training and deploying machine-learning