293 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" positions in Denmark
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independence, with opportunities to shape experimental directions and contribute to the strategic development of the research program. Responsibilities Design, execute, and interpret advanced LC-MS/MS
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. Specific tasks in the project will be: Draft a suitable work- and time plan. Examination of vaccine-induced immune response by gene expression analysis of samples from earlier animal experiments. Optimize
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or analysis of facial expressions is an advantage. The ideal candidate must have excellent programming skills and experience with deep learning frameworks. Given the interdisciplinary character of AI:EMBODY Lab
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BUG-ID is a Marie Sklodowska-Curie Doctoral Network project, funded by the European Commission, Horizon Europe Program. Commencing its activities in January 2026, the Network will provide PhD
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program “Computer Science". The stipend is available for appointment as of March 1st, 2026, or soon thereafter. The position is a three-year role and is located in the Department of Computer Science
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Master's and PhD students. Candidates will be responsible for creating a collaborative work environment within and outside QGG that integrates novel innovative research programs towards the green transition
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dependable. You find enjoyment in working with data, learning new techniques, and applying them in rigorous ways. Ideally, you are at the end of your Bachelor, or start of your Master programme. In terms
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Jobbeskrivelse The Gaia Postdoctoral Fellowship Programme, funded by the EU under the Marie Skłodowska-Curie Actions (MSCA), offers 6 additional positions across to the already 9 existing
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interest, and preferably very knowledgeable, in marine ecology Strong publication record in high-ranking journals Very good skills in scientific programming and related analyzing tools (e.g., R, Phyton
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Postdoc position in method development in human statistical genetics, with a focus on classificat...
education in quantitative genetics and quantitative genomics (http://www.qgg.au.dk/en). QGG is an international organization with 70 employees and visiting researchers from more than 20 countries. We perform