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their scientific insights. All training is in English. The research The mission of our IMPRS is to study fundamental biological processes in plants and to create knowledge and material that can empower innovative
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Description The International Max Planck Research School for Ultrafast Imaging and Structural Dynamics in Hamburg, Germany, offers a structured PhD program focusing on ultra-fast phenomena, X-ray
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EU MSCA doctoral (PhD) position in Materials Engineering with focus on mechanistic study of high cor
PhD Position – Ad Print4Life DC14 Reference code: 50156137_2 – 2025/MO 5 Commencement date: March 1st, 2026 Work location: Geesthacht (near Hamburg) Application deadline: December 31st, 2025 EU MSCA
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-text notes, lab results, and medical imaging, the PhD researcher will create multi-modal models that reflect the full richness of real clinical workflows. Using multi-hospital datasets, including both
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related disciplines Quantitative imaging, data analysis, or computer vision Numerical modeling of biological systems or continuum mechanics Machine learning/AI, particularly explainable AI (XAI) Hands
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Max Planck Institute for the Structure and Dynamics of Matter | Hamburg, Hamburg | Germany | 25 days ago
and solid state dynamics, molecular imaging, extreme timescale spectroscopy, ultrafast optics and X-ray science We offer: A range of PhD positions in these areas: open positions State-of-the-art
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data analysis (e.g., Python, R, C++, MATLAB), computational modeling, imaging and sensor data processing, bioinformatics, systems biology, or biophysics. Familiarity with simulation environments
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on the host cell for their life cycle. For initial infection and cell entry, viruses hijack cellular processes such as signaling, membrane trafficking, intra- and intercellular transport, nuclear import and
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) to predict, observe, and manipulate epigenetic processes. The Schneider group is looking for a PhD candidate (f/m/x) to work on the interphase between epigenetics and cellular metabolism. The applicant should
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one of the following areas: scientific programming and data analysis (e.g., Python, R, C++, MATLAB), computational modeling, imaging and sensor data processing, bioinformatics, systems biology, or