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candidate with a visionary approach to the tight integration of cutting-edge high-performance computing (HPC) and research software engineering (RSE) with the highly dynamic MDC research environment. What we
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strong interest in foundational research very good programming skills, preferably in Python good written and spoken English skills We offer: The position comes with access to high performance computing
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to large clinical datasets and sample collections, support for preclinical model systems, and access to a dedicated high-performance computing cluster Administrative support for extramural grant applications
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The Medical Faculty of Heidelberg and Heidelberg University Hospital are receiving funding from the Federal Ministry for Research, Technology and Space (BMFTR) to establish the program “ACTION
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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 reinforcement
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management Background: materials science, mechanical engineering, or a closely related discipline Apply: https://mgician.eu/research/doctoral-candidate-projects/dc6/ DC7: High-Performance Magnesium-Based
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, Excel, PowerPoint) Adobe Illustrator and Photoshop or similar image processing software Basic knowledge and practical experience in the operation of high-resolution mass spectrometers (preferably Orbitrap
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Research Assistant (m/f/d) with a Ph.D. in Civil Engineering, Engineering Physics, Physics, Mathemat
-prüfung (BAM) is a materials research organization in Germany. Our mission is to ensure safety in technology and chemistry. We perform research and testing in materials science, materials engineering and
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with high-performance computing environments. Independent, creative, and able to thrive in a collaborative, interdisciplinary setting. What We Offer A stimulating research environment at Helmholtz Munich
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Joint Univers. Professorship for “Sustainable polymer matrix composites at TU Hamburg” combined with
, property optimization, and aging-driven interfacial degradation. The aim of the research program is to devise materials innovations that support the transition from single-use high-performance PMCs