50 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "UCL" research jobs at Leibniz
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-page motivation letter, contact details for reference letters) by December 15th, 2025. Please use our online application system - https://www.leibniz-inm.de/en/job-offers-2/ The INM practices an open and
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its employees in reconciling work and family life and regularly undergoes the audit berufundfamilie® . Further information at: http://www.ifw-dresden.de . The Nanostructured Thin Film Materials (NTFM
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background in neurobiology Strong interest in studies on sleep in model organisms such as zebrafish Familiarity with statistics and programing experience with Python Previous experience with neuroimaging is
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of 1 or 2 references Submission will be accepted until 30 December 2025. https://www.leibniz-inm.de/en/job-offers-2/ For more information on the institute, please see: https://www.leibniz-inm.de/en
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genomics, genome assembly and programing of scripts, R Very good written and oral communication skills in English Interest to species distribution modeling, paternal inference, conservation genetics and
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programming languages such as R or Python Experience with multiome data analysis (e.g. methylomics, Lipidomics, Proteomics, ATAC-seq) Proven experience with advanced computational methods such as deep and
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development Interesting, varied and challenging tasks and family-friendly working conditions Company pension plan (VBL) Company health promotion and the opportunity to participate in company fitness with EGYM
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of measurement and control technology or programming skills, preferable in python First experience with modern methods of material characterization High motivation, initiative, creativity, and ability to work in a
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of a company pension scheme as well as an allowance for capital-forming benefits A varied further education programs, sports activities, joint leisure events Health days and company integration
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program. Requirements Very good master's degree in computer science, data science, mathematics or a related discipline; relevant research experience (e.g., master's thesis) in the field of NLP/ML/text