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physics, mathematics or any related field. What we offer State of the art on-site high performance/GPU compute facilities Competitive research in an inspiring, world-class environment A wide range of offers
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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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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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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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measurements using high-fidelity simulation approaches, serving as a reference for safety-relevant positioning performance assessment employ physics-informed modeling concepts to ensure consistency between
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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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PhD Position – High-Temperature Electrolysis – from stack design to operational optimizationFull PhD
this with expertise in high‑performance computing and artificial intelligence using unique scientific infrastructures. At the Institute of Energy Technologies – Fundamental Electrochemistry (IET‑1), we
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. *The bachelor’s degree needs to qualify for a master’s programme at a German university. Please check beforehand, if your degree is recognised for entering the master’s course you would apply for (for example
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component in the transformation of the energy sector and the decarbonization of emission-intensive sectors. Within the framework of the German and the European hydrogen strategies, we intend to recruit and
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Bonn, Medical / Mathematical and Natural Sciences Faculties; German Center for Neurodegenerative Diseases (DZNE) Description: The Research Training Group (RTG) “Development and epileptogenesis