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further both professionally and personally in an interdisciplinary setting. Position The DWI is looking for a Postdoctoral researcher to develop new granular biomaterials for tissue engineering purposes
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of motion analysis in collaboration processing of images in preparation for image-based modelling Your profile PhD in physics, materials science, computer science, applied mathematics or a related field
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Postdoc (f/m/d) Leader of Junior Research Group "WEEE-Recycling" / Completed university studies (...
. At the Helmholtz Institute Freiberg for Resource Technology (HIF), innovative technologies for the circular economy are developed to provide and use mineral and metal-bearing raw materials more efficiently and to
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for image-based modelling Your profile PhD in physics, materials science, computer science, applied mathematics or a related field strong background in image processing and analysis, including deep learning
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Max Planck Institute of Molecular Cell Biology and Genetics | Dresden, Sachsen | Germany | 26 days ago
Dresden . Your responsibilities: Drive independent and collaborative research in applied topology within the group’s thematic focus. Develop and refine methods to address new mathematical questions
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(hep-th) , Theoretical Particle Physics , Elementary Particle Theory , String Theory , Particle Physics , Cosmology , Particle/Cosmology Theory , Nuclear & Particle Theory , Physics - Mathematical
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than January 18th , 2026 preferably via e-mail and as a single PDF file to: ausschreibung43-25@mpinat.mpg.de Apply now Max Planck Institute for Multidisciplinary Sciences Research Group „Chromatin
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on formal verification and reachability analysis using logical zonotopes, with applications in digital circuit verification and model checking. Candidates should have a strong mathematical background and
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content of brain wiring. : PhD in mathematics or a related field. : Previous academic experience with information theory in basic or applied research. We are not looking for a data analyst of 'omics' data
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are supported by the platforms for 1) opsin engineering, 2) gene transfer, 3) disease models, 4) immune-phenotyping and 5) development of medical devices. The EKFZ relies on a close interdisciplinary