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in Computational Oncology (m/f/d, E13 TV-L, 100%) Position Details Start Date: negotiable, available immediately Duration: 3 years (initially) Working Hours: Full-time (100%) Salary: According
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volume correlation processing of images in preparation for image-based modelling Your profile PhD in physics, materials science, computer science, applied mathematics or a related field strong background
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involved in the further development of a computational multi-physics simulation framework in C++ and its application to specific research problems, mainly from materials science and process engineering
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Muehlleitner (ITP), Prof. Dr. Thomas Schwetz-Mangold (IAP), and Prof. Dr. Felix Kahlhoefer (TTP). KIT is also home to a lively experimental program in astroparticle physics (https://www.iap.kit.edu/english
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6 Mar 2026 Job Information Organisation/Company Cluster of Excellence ROOTS Research Field History » Prehistory History » Archaeology Anthropology » Physical anthropology Cultural studies » African
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Max Planck Institute of Animal Behavior, Radolfzell / Konstanz | Konstanz, Baden W rttemberg | Germany | 3 days ago
to combine theory, experiment, or computational approaches to investigate how ring-attractor-like dynamics are expressed in real organisms and how they shape behavior. Possible avenues include immersive
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of Computational and Molecular Prevention (headed by Prof. Dr. Filimon Goncalves) is seeking for the next possible date a Postdoctoral Researcher – Computational & Translational Analysis of Pulmonary Nodules
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27 Feb 2026 Job Information Organisation/Company European XFEL Research Field Physics Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Application Deadline 9 Apr 2026 - 23
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Diabetology (DIAB) invites applications for 1 Postdoc (m/f/d) starting as soon as possible. We are seeking a highly motivated Computational Biologist/Bioinformatician to join our team which focuses
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or computational approaches to study biological systems in close collaboration with experimental groups at the MPI-CBG and the TUD. Ideal candidates should have backgrounds in physics, computer science, mathematics