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this with expertise in high-performance computing and artificial intelligence using unique scientific infrastructures. Are you excited about working at the interface of natural and computer sciences? At
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this with expertise in high‑performance computing and artificial intelligence using unique scientific infrastructures. Do you want to contribute to securing the critical raw materials needed to enable
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compounds, etc. The project will focus on the i) development of membrane filtration systems and operation with novel nanofiltration membranes, ii) examination of the physical/chemical processes inside
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simulations (in collaboration with a postdoctoral researcher) Evaluation of localisation results with regard to physical plausibility and accelerator operation Visualisation of extracted parameters and
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an interdisciplinary and international team and to regularly present research findings Skills in materials chemistry, actinide chemistry, theoretical chemistry, high-performance computing, and programming are beneficial
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quantification, and high-performance computing, with applications in the natural and engineering sciences. The position also includes teaching responsibilities equivalent to 4 contact hours per week, as
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4‑year PhD position in the area of machine learning and computer simulations. The focus of the PhD project will lie on developing machine learning models for clustering, classification, regression and
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. The candidate will collaborate in an international research team on related topics in probabilistic modeling, uncertainty quantification, and high-performance computing, with applications in the natural and
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the Research Training Group "AirMetro - Technological & Operational Integration of Highly Automated Air Transport in Urban Areas" (RTG 2947) , funded by the German Research Foundation (DFG
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will be provided by collaboration partners. The position is a part of the project “Biotechnologie-Innovationen für High-End Immuntherapien und Theranostik” (BIOFIT; 2025-28) funded by the EFRE (European