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fixed-term duration of 24 months with the possibility of extension. The successful candidate will: • Conduct in-depth simulations and analysis to model and understand the performance of the electron gun
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which wind-farm-induced changes in the atmospheric flow and boundary-layer structure can affect precipitation. Targeted simulations with and without wind-farm effects will be used to quantify
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. Depending on the candidate's background and interests, the project may also involve acoustic hardware, numerical simulations, phantom development, and translation of the resulting methods toward biomedical
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environment agriculture Biorefinery process design, simulation and optimization Life cycle assessment on food, agricultural, and/or biological systems Additional duties include: (i ) Developing research
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. The work combines physics-based thermal design and process-level system simulation with high-fidelity computational fluid dynamics and fast reduced-order and machine-learning models, so that the final design
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) including a complete publication list, Certified copy of doctoral degree certificate or documentation when the doctoral degree is expected to be obtained, Verified copies of other diplomas, list of completed
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Heidelberg Institute for Theoretical Studies (HITS gGmbH) | Heidelberg, Baden W rttemberg | Germany | 11 days ago
simulations across scales: From molecules to stars Making sense of data: From words to weather Enabling the future of reproducible, data intensive research: From algorithms to knowledge discovery What we offer
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) calculations, crystal structure prediction, NMR simulation, scientific programming, or quantitative data analysis. Demonstrated ability to conduct independent research, analyze complex datasets, communicate
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Python. Close scientific collaboration with researchers in fluid mechanics, theory, and numerical simulation at ARCNL, TU/e, and UvA. Possibility to enhance your experimental research work with advanced
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structuring of river systems. Familiarity with software and tools for simulating river network dynamics, such as R, Julia, Python, or GIS-based hydrological modeling platforms. Ability to integrate physical