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No. PS 2026/4 The Young Investigator Group Magnons: X-rays and Models is looking for Postdoc (f/m/d) Development of X-Ray Spectroscopy Techniques for Magnetic Materials Your Tasks You will perform X-ray
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scenarios, the project focuses on increasing the technology readiness of the sensor and enabling its adoption in scientific and industrial vacuum applications through continued technological development and
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Max Planck Institute of Molecular Physiology, Dortmund | Dortmund, Nordrhein Westfalen | Germany | about 1 month ago
-of-the-art cryo-EM, cryo-ET and optical microscopy facilities. Project and responsibilities The researcher will lead and contribute to innovative method development in structural biology, addressing key
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 2 months ago
Job description:Postdoc (f/m/d) Methods Development for the Micromechanical Characterization and Modeling of the Mechanical Behavior of Ion-Irradiated Nuclear Structural Materials within Materials
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Responsibilities Conduct research in computational methods for environmental and engineering applications. Develop and analyze numerical algorithms, reduced-order models, and machine-learning-enhanced simulation
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/ bioinformatician with a strong interest in quantitative biology and mass spectrometry-based proteomics to develop new approaches for extracting biological information from complex mass spectrometry datasets. You
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Infrastructure? No Offer Description Develop your own research ideas in biodiversity and landscape ecology The Landscape Ecology Group at the University of Potsdam is seeking a motivated and scientifically
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Postdoctoral Researcher in Semantic Knowledge Engineering & Interoperability in Materials Science in
to develop a federated digital research infrastructure for the materials sciences. The goal is to establish interoperable, trustworthy data spaces where scientific and industrial stakeholders can securely and
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. In the ELUD research project, we address the question of if and when learning agents converge to an efficient equilibrium and when this is not the case. ELUD will design new algorithms for computing
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Yang (Research Team Leader at MPIC). The project aims at developing AI-powered molecular modeling tools to uncover how molecules form atmospheric aerosols — tiny particles with huge impacts on climate