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-XRF, Raman, FTIR in reflection mode) to enable multimodal data fusion and automated material characterization. • Apply and further develop machine-learning and statistical models (e.g. PCA, SAM
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Deutsches Zentrum für Neurodegenerative Erkrankungen | Bonn, Nordrhein Westfalen | Germany | about 1 month ago
-generation sequencing, single-cell OMICS, transcriptomics and genomics/epigenomics using material from animal models as well as human patients. The successful candidate will be involved in the establishment
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08.09.2025, Wissenschaftliches Personal with a strong connection to partial differential equations (numerics / analysis / modeling) (100%, TV-L) is available starting immediately. The position in
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sciences provides data management and AI based Image analysis, an internal simulations group working on quantitative models to reproduce and predict experimental data, and an internal experiments group (You
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solution approaches). Additionally, you will be involved and collect experience in supervision of PhD students, teaching, and further academic and administrative affairs of our professorship. Your profile
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27.09.2025, Wissenschaftliches Personal We are seeking a PhD or Postdoctoral researcher to join the AI in Orthopaedics group (TUM & TUM University Hospital). The position focuses on developing
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, interpretation and model building. Your qualifications We are seeking for An outstanding experimentalist with a PhD degree in biochemistry, molecular biology, and biophysics with a strong focus on membrane protein
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by Prof. Dr. Matias Simons is recruiting a motivated postdoc to lead research projects in lipid cell biology and metabolism with the help of the Drosophila model. The mission of the Nephrogenetics
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in Canada, USA, Sweden and the Netherlands. At the University of Hamburg the PostDoc will work in a team consisting of senior scientists, PostDocs, as well as a PhD student and technician hired through
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adaptive robotic strategies. The work will involve the integration of: Advanced motion planning and control algorithms Multi-modal perception techniques (e.g., vision, tactile, force) Machine learning models