942 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" positions in Germany
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genomics will be used to address questions relating to evolutionary relationships and biomineralization in Annelida. This position is funded through the Leibniz Collaborative Excellence Programme, with
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candidate will be embedded in the DFG Research Program RTG3120 on Biomolecular Condensates ( https://dresdencondensates.org ). Each PhD project is part of an interdisciplinary framework that includes shared
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related field experience with numerical models and/or large observational datasets strong skills in scientific programming (e.g. Python, Fortran, or similar) ability to work independently and in
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important to us – we support you specifically and individually, for example through training opportunities and the structured JuDocS program for doctoral candidates https://www.fz-juelich.de/en/judocs Health
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related field experience with numerical models and/or large observational datasets strong skills in scientific programming (e.g. Python, Fortran, or similar) ability to work independently and in
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) Application Deadline 1 Feb 2026 - 22:59 (UTC) Country Germany Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the
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Brain Research German Center for Neurodegenerative Diseases Werner Reichardt Centre for Integrative Neuroscience Teaching language English Languages English Full-time / part-time full-time Programme
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. Conceptualization of the outreach action plan (website, online platform, workshops) in cooperation with scientists in MaterialVital Hub and communication experts at INM and partner institutions. Reporting to project
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how to find accommodation, please visit: Finding accommodation in Hamburg . For more information on how to find accommodation and how to plan your first steps in Hamburg, please see: https://www.uni
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systems and basic knowledge in information theory ▪ Proficiency in at least one programming language (e.g. Python) ▪ Interest in AI‑based attack models and security research The following points