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6 Sep 2026 Job Information Organisation/Company Helmholtz-Zentrum Berlin für Materialien und Energie Research Field Physics Researcher Profile Recognised Researcher (R2) Established Researcher (R3
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 4 days ago
aging and metabolic health Perform studies in murine models, including collection, processing, sectioning of brain tissue and anatomical analysis of hypothalamic regions Apply molecular, histological, and
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Systems At the Institute of Climate and Energy Research – Energy Systems Engineering (ICE-1), our focus is on developing models and algorithms for simulating and optimising decentralised, integrated energy
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23 Aug 2026 Job Information Organisation/Company Helmholtz-Zentrum Berlin für Materialien und Energie Research Field Physics Researcher Profile Recognised Researcher (R2) Established Researcher (R3
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, networked robotics, passivity-based control, human–robot interaction, and AI-assisted shared control. A key aspect of the project is that the development of new AI or foundation models is not the focus
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(https://balzer-lab.org ), investigating how human kidneys adapt to organ loss. Our lab studies how human kidneys regenerate after organ loss using cutting-edge single-cell and translational approaches
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | about 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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the following fields: Tumor immunology | Cellular immunotherapy | Immune metabolism | T-cell biology | Gene editing | Stem cell transplantation experience with murine models is highly desirable (FELASA
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have generated extensive comparative genomics datasets (e.g., single-cell RNA-seq and ATAC-seq) across species, based on samples from our unique organ collections, and analyzed them using state
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Neuromorphic computing is emerging as a key technology for future energy-efficient artificial intelligence. At Peter Grünberg Institute- Semiconductor Nanoelectronics (PGI-9) , we develop innovative