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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 2 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 (f
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applications The Department of Physics at Umeå University is offering a postdoctoral scholarship for a project that aims to develop high-performance computing (HPC) models and simulation tools for space weather
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physics and other science applications. More specifically, the projects will involve designing, building and testing of novel HTS cables, coil modules, prototype assemblies to demonstrate and validate
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@barcelonabeta.org Subject: Postdoctoral Fellow - Population Neuroscience Group (Computational AI & Multimodal Modeling) Where to apply E-mail talent@barcelonabeta.org Requirements Research FieldMedical sciences
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» Computer engineering Engineering » Simulation engineering Researcher Profile Recognised Researcher (R2) Application Deadline 15 Feb 2026 - 22:59 (UTC) Country Netherlands Type of Contract Temporary Job
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provides access to modern core facilities (NMR, MS, spectroscopy, imaging) and fosters collaborations at the campus, regional, national, and international levels across chemistry, biology, and biotechnology
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underlying brain systems in individuals with ASD and individuals with FXTAS. These clinical research projects are conducted through the Clinical Child Psychology Program (https://clchild.ku.edu/ ) and the
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EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Department of Earth Sciences is looking for a highly motivated PhD candidate with a MSc
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/computer engineering, applied mathematics, computational biology, bioengineering, or a closely related discipline. Solid experience training and evaluating AI models. Proficiency in Python and ML frameworks
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engineering, computational biology, biostatistics, or a related discipline, with a strong background in clinical data analysis and predictive modeling. Experience with multivariate regression techniques