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Description Experimental and computational projects available at the International Max Planck Research School for Sustainable Metallurgy (IMPRS SusMet) in Germany at the partner institutes Max
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resource-efficiency requirements. This collaborative doctoral project brings together the Institute of Advanced Simulation – Materials Data Science and Informatics (IAS-9) and the Institute of Energy
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%, currently 29.85 hours/week). The position is funded by the German Federal Ministry of Research, Technology and Space (BMFTR) until 30.09.2028. Within this project, and in a collaboration between the
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environment. For more information about the Program for Collaborative Doctoral Projects, please visit: https://go.fzj.de/Collaborative-Doctoral-Projects . We are offering an interesting Collaborative Doctoral
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a comprehensive range of continuing education and networking opportunities - more information about the PhD program at the HZDR can be found here Salary and social benefits in accordance with
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highly collaborative and interdisciplinary research environment, where you'll work alongside experts from fields such as transport and urban planning, engineering, data science, computer science. Skill
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or directly inside the cell. This approach requires biochemistry or cell biology for the sample preparation and scripting skills for the ET data processing. For more information, please read PMID33762348
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computational and AI infrastructure. Your Tasks: Developing a workflow in high-performance computational studies and integrating into a mixed fidelity experimental high-throughput platform Creating a data
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with shallow water equations). Python coding for workflow control, data pre- and post-processing as well as model calibration and validation. High-performance computing (HPC) for running test cases and
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environment. For more information about the Program for Collaborative Doctoral Projects please visit: https://go.fzj.de/Collaborative-Doctoral-Projects . We are offering an interesting Collaborative Doctoral