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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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interdisciplinary projects. Development, testing, and evaluation of methods and software systems directly on our real test vehicles (see image) for automated driving. Application of modern software engineering
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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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contribution to the further establishment and operation of the INW Long-Term Characterization X-Ray Laboratory Your Profile: Master`s degree with PhD in physics, chemistry, materials science, chemical
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advanced machine learning methods for multimodal and 3D medical image analysis in musculoskeletal medicine, in close collaboration with clinicians and computer scientists. PhD or Postdoctoral Researcher
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– 2025/MO 5 Commencement date: March 1st, 2026 Work location: Geesthacht (near Hamburg) Application deadline: December 31st, 2025 EU MSCA doctoral (PhD) position in Materials Engineering with focus
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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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applications ranging from next-generation laser technology and precision material processing to laser-driven self-assembly and surgery, all the way to a long-term vision of developing an “Atom Printer” based
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the use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission analysis, and infrared thermography
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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