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Basic qualifications (required at time of application) PhD or equivalent international degree, or enrolled in a PhD or equivalent international degree granting program Additional qualifications (required
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Application Deadline 30 Nov 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Potsdam, Brandenburg | Germany | 14 days ago
Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Area of research: Scientific / postdoctoral posts Job description:PostDoc in
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Position Overview We are seeking a highly motivated Postdoctoral Researcher to join the Computational Turbulence Laboratory (CTLab) in the Department of Aerospace Engineering at the University of Kansas
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). • Advanced quantitative analyses (machine learning, computer vision, multilevel statistics). • Creation and use of Python code for advanced analyses. • Management and monitoring of complex transgenic lines
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28 Oct 2025 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Mathematics » Applied mathematics Mathematics » Geometry Physics » Computational physics Physics
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research at the intersection of moral psychology and AI ethics, contributing to a major programme of work on how humans understand, evaluate, and trust artificial intelligence (AI) systems that make moral
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bioinformatic analyses (though experience with other complex computational analyses will also be considered). Detail oriented with strong organizational and communication skills. Application Requirements Document
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facilities in partnership with the computational science community. We help researchers solve some of the world’s largest and most complex problems with our unique combination of supercomputing resources and
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they link to C cycling process; Excellent computational, analytical and statistical skills, including proficiency in the use of programming languages such as R and python; Experience in analysing large and