53 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "https:" "I.E" positions at Nature Careers in France
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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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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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-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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at a university or higher education institution, and the internship must be a mandatory component of their program of study. BACKGROUND The externally funded project will explore the molecular mechanism
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families,with access to free public education from the age of 3 and childcare assistance programs. A universal healthcare system is also largely covered by the government. Outstanding early-career candidates
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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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on teaching and learning languages in pre- and primary school, with a special focus on children's German and/or French literature, in both the Bachelor of Science in Education (BScE) programme and the Bachelor
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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