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HBIGS Heidelberg Biosciences International Graduate School | Heidelberg, Baden W rttemberg | Germany | 7 days ago
Marie Curie Doctoral Network 'AGILE' has got 15 open PhD positions: https://www.msca-agile.eu/ AGILE “Advanced Training for Next Generation Scientists in Spatio-Temporal Imaging of Plant Cells”, is a
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of human cohorts” (65%, Proteomics Group) Ref. Number: 396_2026 PhD Position 3 “Image-based analysis of human cohorts” (65%, Lipidomics Group) Ref. Number: 397_2026 PhD Position 4 “Data Science” (100
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remains challenging, limiting multiscale imaging approaches in near-field holotomography. To address this, the PhD project combines machine learning, high-performance computing, and synchrotron-radiation
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for the position. Your tasks This PhD position is part of the ErUM-Data project CmarT, which aims to develop a novel multi-scale imaging approach at synchrotron radiation facilities, particularly PETRA III at DESY
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accordance with European and German legal regulations. Further information on data protection and the processing of personal data can be found at: https://www.isas.de/en/datenschutz . The closing date
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Infrastructure? No Offer Description Area of research: PHD Thesis Job description:PhD Position - Denoising Methods for Dual-Tracer PET Imaging Positron emission tomography (PET) is often used to diagnose
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accordance with European and German legal regulations. Further information on data protection and the processing of personal data can be found at: https://www.isas.de/en/datenschutz . The closing date
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Bioanalytics for the Proteomics research group, we invite applications for a: PhD Candidate (m/f/d) This position is part of the Leibniz Science Campus “Cardio-Oncology Campus for Precision Medicine”, with focus
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Bioanalytics for the Lipidomics research group, we invite applications for a: PhD Candidate (m/f/d) This position is part of the Leibniz Science Campus “Cardio-Oncology Campus for Precision Medicine”, with focus
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environmental geophysics. This PhD project aims to advance the process-based understanding of SSF by combining state-of-the-art geophysical methods with controlled field experiments and numerical modeling