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Description For our location in Hamburg we are seeking: PhD Position: Method Development for Hierarchical X-Ray Imaging at Synchrotron Facilities Limited: 2 years | Starting date: earliest possible
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activities. ________________________________________ Candidate Requirements ✅ PhD degree in Engineering, Computer Science, Systems & Control, Statistics, Computational Physics, Computational Chemistry
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EU MSCA doctoral (PhD) position in Materials Engineering with focus on mechanistic study of high cor
doctoral (PhD) position in Materials Engineering with focus on mechanistic study of high corrosion susceptibility of additively manufactured biodegradable Mg and Zn alloys. Host: Helmholtz-Zentrum Hereon
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engineering, and quantitative live-cell imaging to probe and model these processes. By combining stem cell biology with cutting-edge microscopy and physical concepts, we aim to establish a predictive framework
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sustainable bioeconomy. The four PhD projects are: Your Profile: Master’s degree (or equivalent) in computer science, applied mathematics, physics, engineering, biology, plant and agrosphere sciences
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evaluation of high-performance light microscopy experiments coordinating the smooth operation of the facilities, including instructing users in the operation of the imaging and biophysics facilities
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Requirements: university and PhD degree in physics, biology, engineering, or a related field strong background in quantitative imaging and analysis; prior experience with single-molecule imaging and/or
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Description The Cluster of Excellence “CUI: Advanced Imaging of Matter”, funded by the German Federal and State Governments, combines projects in physics, chemistry, and molecular biology at
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programming for workflow automation and data handling Familiarity with high-content imaging and quantitative analysis is a plus Interest in interdisciplinary approaches at the interface of biology, technology
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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