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science, physics, computational science or similar, with experience in modeling and simulation Strong understanding of the (computational) mechanics of solids and the finite element method and/or spectral
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this project, you will develop innovative quantum algorithms for the accurate calculation of materials properties. You will combine methods from quantum informatics and solid-state physics to describe
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Physical Oceanography, Marine Chemistry, Biological Oceanography, Marine Geology and Marine Observations work interdisciplinary within a joint research program. What will be your tasks? As part of
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Description 3 x Academic Researcher (m/f/d) (TV-L E 13, 100%, Service Location: Clausthal-Zellerfeld) The research group Dependable and Autonomous Cyber-physical Systems (DACS) at the Institute
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the formation of double-strand breaks, copy-number alterations, and other structural genome changes. Our group combines cutting-edge genome biology approaches with quantitative, multi-omics analyses to uncover
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EU MSCA doctoral (PhD) position in Materials Engineering with focus on mechanistic study of high cor
process-performance correlations and suggest the strategies for reducing corresponding degradation rates. The best performing alloys will be tested in vitro at Hydrumedical using in house-developed flow
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] method within the MiMiC multiscale simulation framework Develop and integrate a communication interface between quantum computers (via Qiskit) and classical HPC resources Validate the QCS-MiMiC
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Framework Programme? Horizon Europe - MSCA Marie Curie Grant Agreement Number 101168725 Is the Job related to staff position within a Research Infrastructure? Yes Offer Description The Fraunhofer-Gesellschaft
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, process engineering, chemical engineering, energy technology, or a related field Proven expertise in modeling and simulation; familiarity with CFD tools such as COMSOL, Ansys Fluent, or OpenFOAM Excellent
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on futuristic technologies in the field of machine learning and computer vision. Hence, we investigate and develop an innovative computation-in-memory (CIM) solution for artificial intelligence accelerator design