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and harmonize user-friendly, standardized data analysis pipelines for a variety of computational tasks, including, but not limited to, mutation calling, bulk and single-cell RNA-seq analysis, ChIP-seq
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. The postdoc project is jointly supervised by Oliver Bossdorf and Henri Thomassen. We are looking for a highly motivated researcher with strong analytical skills and a keen interest in genetic biodiversity
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Researcher (R1) Positions Postdoc Positions Application Deadline 31 May 2026 - 23:59 (Europe/Berlin) Country Germany Type of Contract To be defined Job Status Negotiable Is the job funded through the EU
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Researcher (R2) Positions Postdoc Positions Application Deadline 31 May 2026 - 23:59 (Europe/Berlin) Country Germany Type of Contract To be defined Job Status Negotiable Is the job funded through the EU
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large-scale scientific research and foundation models. The Machine Learning Science Cloud is part of the AI/ML compute ecosystem in Tübingen. Our users work on diverse research and transfer projects
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available in the further tabs (e.g. “Application requirements”). Programme Description Research work (Master's theses, doctoral theses, Postdocs) in the field of natural sciences is eligible for funding
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Biological sciences » Other Physics » Applied physics Chemistry » Biochemistry Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Application Deadline 18 May 2026 - 23:59 (Europe/Berlin
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Selection Criteria – Programme Line 2: Research Stays Academic Qualification: for doctoral candidates and postdocs: academic grades (Master’s and PhD) scientific achievements (e.g. publications, presentations
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Profile Recognised Researcher (R2) Positions Postdoc Positions Application Deadline 31 Mar 2026 - 23:59 (Europe/Berlin) Country Germany Type of Contract Temporary Job Status Full-time Hours Per Week 38.7
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Kunsthistorisches Institut in Florenz - Max Planck Institute, Florence, Italy | Germany | 2 months ago
Islands. Archipelago investigates the network formed by the islands, both large and small, across the Mediterranean. The project considers in parallel the internal complexity of the large islands, each