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Field
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the system to learn optimal adjustment policies directly from interaction with the physical infrastructure. Anomaly detection and fault diagnosis. The candidate will develop a multi-level diagnostic framework
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such scholarship will be awarded 2 points, up to a maximum of 6 points. • Specific research experience: Demonstrable experience in the fabrication, characterization, process optimization, and/or
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towards this requirement. Technical Skills or Knowledge: Proficiency in Python and other related software, such as MATLAB, R, Julia, SQL, and data analysis/optimization libraries. Preferred Competencies
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, Environmental Physics, Physical Geography, Urban Design, or a related field; Experience in atmospheric numerical modelling (e.g., RANS, LES) and scientific programming and GIS tools — or strong motivation
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, MATLAB, or similar. Experience with numerical modelling and simulation, preferably using finite element (FE) and/or multibody dynamics (MBD) approaches. Ability to collaborate effectively with academic
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, physics-based numerical models will be developed to simulate train–track–bridge dynamic interactions and their resulting structural responses. The health condition of railway tracks on bridges will then be
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materials (Goswami group) and a theory group (Wimmer group) for numerical simulations. We welcome applications from motivated and passionate experimentalists with a background in low-temperature electrical
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) productivity, optimization and efficiency, and (4) implementation and use of innovative energy solutions. The PhD student position is part of the newly funded KKS Synergy project WorkFlex+ which focuses
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-driven modeling or systems optimization. Experience 0–3 years of postdoctoral experience (or equivalent research experience) in computational, statistical, or data-driven modelling Proven experience in
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Germany | 3 months ago
establishment, optimization, and troubleshooting for robust and reproducible outcomes Computational and digital research skills, including RNA-seq data analysis, R-based statistical analysis and visualization