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international collaboration partners Support and administer internal web and Linux servers Your Profile Academic degree (master's and Ph.D.) with a background in computer science, bioinformatics, physics
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The postdoctoral researcher will lead the development of computational methods for aligning cortical organisation across species using transcriptomic and anatomical data combined with modern machine
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The Data Science Learning Division at Argonne National Laboratory is seeking a postdoctoral researcher to conduct cutting-edge computational and systems biology research. The primary focus
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available in the further tabs (e.g. “Application requirements”). Programme Description The Grant Programme of the Berlin House of Representatives awards funding to young researchers in any subject area from
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Physics (GRASP) Initiative -https://grasp.physics.harvard.edu , is now accepting applications for a postdoctoral fellowship in high energy theory. We anticipate a dynamic environment with interactions with
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Field Biological sciences Physics Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Country Spain Application Deadline 31 Dec 2026 - 23:59 (Europe/Madrid) Type of Contract
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are expected to have a PhD in Physics, Mathematics, Computer Science or a related quantitative discipline. Ideal candidates from the biological sciences should have experience with scientific programming. Ideal
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We are looking for an enthusiastic and highly motivated Postdoctoral Researcher to join our dynamic research team in the exciting, interdisciplinary field of plasma-liquid interaction. This is a unique opportunity to contribute on new horizon research investigating how an optical plasma...
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)-2025_48_TH_SM_SO_POSTDOC [#31138, Institut de Física d'Altes Energies (IFAE)] Position Title: Position Type: Postdoctoral Position Location: Bellaterra, Catalonia 08193, Spain [map ] Subject Areas: Physics / HEP
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. The candidate will lead computational analyses of these datasets, using the laboratory’s suite of existing AI/ML tools to assign structures to unidentified peaks in metabolomic datasets (e.g., https