97 computer-programmer-"https:"-"FEMTO-ST"-"https:"-"https:"-"https:"-"UNIV" positions in France
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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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-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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expertise in comparative methodologies and analytic strategies (qualitative, quantitative, or mixed). The appointee will join the Sciences Po Interdisciplinary Research Programme on the Environment [AIRE
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health and innovation. The person will play a central role in developing and coordinating the Bachelor in Midwifery Sciences in close collaboration with the Programme Director. The primary teaching
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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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on the collaborative and joint work of teachers from the different health programmes. Research: The candidate will be responsible for developing an own research programme and to contribute, according to the expertise
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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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benjamin.devauchelle@pasteur.fr in Cc. The candidate should have a PhD in Human Genetics and the following skills: Strong interest in the field of genetics, neurobiology and psychiatry. Computer skills: strong level in
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significant computational component. We strongly recommend a background in machine learning and coding. Applicants with a background in areas such as computational neuroscience, reinforcement learning, or deep