279 computer-programmer-"https:"-"FEMTO-ST" "https:" "https:" "https:" "UNIV" "UNIV" Postdoctoral positions in Germany
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addition to exciting tasks and a collaborative working atmosphere at Jülich, we have a lot more to offer: https://go.fzj.de/benefits We offer you an exciting and varied role in an international and interdisciplinary
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Germany Application Deadline 15 Dec 2025 - 23:59 (Europe/Berlin) Type of Contract Temporary Job Status Part-time Offer Starting Date 1 Jul 2026 Is the job funded through the EU Research Framework Programme
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GESIS - Leibniz Institut für Sozialwissenschaften | Mannheim, Baden W rttemberg | Germany | 2 months ago
Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description GESIS – Leibniz-Institute for the Social Sciences is an internationally
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Apply online now: https://karriere.klinikum.uni-heidelberg.de/index.php?ac=application&jobad_id=26808 Postdoc Molecular Biology Research in AML (m/f/d) Stellenanzeige merken Stellenanzeige teilen we
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! For scientific questions regarding the project, please contact Prof. Susann Boretius at sboretius(at)dpz.eu . For more information about the DPZ, please visit http://www.dpz.eu or call 0551 3851-105. Further
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upload your CV and motivation letter, by February 15th , 2026 via the online application system: https://www.leibniz-inm.de/en/job-offers-2/ For further information on this position, please contact INM
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application system: https://www.leibniz-inm.de/en/job-offers-2/ For further information on this position, please contact INM Scientific Directors Prof. Dr. Aránzazu del Campo (aranzazu.delcampo(at)leibniz
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. Felix Kahlhoefer (TTP). KIT is also home to a lively experimental program in astroparticle physics (https://www.iap.kit.edu/english/index.php ) and experimental particle physics (https://www.etp.kit.edu
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://past2future.org ) with 24 partners. It has recently been funded by the EU horizon program. The aim of the position’s subproject here is to use latest spatially downscaled climate model results for the past (mainly
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private domains. Our team combines cutting-edge computational techniques with traditional social science methods and we are equally interested in methodological innovation and in the broader consequences