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EU MSCA doctoral (PhD) position in Materials Engineering with focus on mechanistic study of high cor
process-performance correlations and suggest the strategies for reducing corresponding degradation rates. The best performing alloys will be tested in vitro at Hydrumedical using in house-developed flow
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27 Oct 2025 Job Information Organisation/Company Helmholtz Zentrum Hereon Research Field Chemistry » Biochemistry Engineering Physics Mathematics Researcher Profile First Stage Researcher (R1
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EU MSCA doctoral (PhD) position in Materials Engineering with focus on mechanistic study of biodegra
Actions) doctoral candidate, you must i) not have a doctoral degree at the date of recruitment, ii) not be enrolled in a doctoral program, and iii) comply with a mobility rule requiring you to not have
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the Institute of Advanced Simulation – Materials Data Science and Informatics (IAS-9) and the Institute of Energy Materials and Devices – Structure and Function of Materials (IMD-1) to establish a data-driven
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their system-level integration Develop design architecture and break down requirements into functional blocks Create and execute test benches for RTL and timing simulations Create design documentation in
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physics, microbial ecology, plant nutrition, plant physiology, plant ecology, biochemistry, and/or bioinformatics Strong interest in using process-based mathematical modeling to simulate biogeochemical
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-free double perovskites Your Profile: Master`s degree in theoretical or computational physics, chemistry, materials science or similar fields Familiarity with atomistic simulations, high-performance
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doctoral candidates there, to reveal process-performance correlations and suggest the strategies for reducing corresponding degradation rates. The best performing alloys will be tested in vitro
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of rainfall, drainage capacity, and 3D urban form on flood severity • Validate results with hydrodynamic simulations and 3D urban semantic models, benchmark against state-of-the-art methods, and publish in
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Successful candidates have strong skills in computational molecular (bio)physics, structural biology and scientific computing, as well as a keen interest in interdisciplinary research and