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Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau | Kaiserslautern, Rheinland Pfalz | Germany | 3 months ago
2 Oct 2025 Job Information Organisation/Company Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau Department Computer Science Research Field Computer science » Informatics Researcher
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EU MSCA doctoral (PhD) position in Materials Engineering with focus on mechanistic study of high cor
doctoral (PhD) position in Materials Engineering with focus on mechanistic study of high corrosion susceptibility of additively manufactured biodegradable Mg and Zn alloys. Host: Helmholtz-Zentrum Hereon
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applied Machine Learning Hands-on experience with High Performance Computing Systems Basic knowledge of System Architecture of Supercomputers and NVidia-GPUs Practical experience with ML/DL workflows and
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this position, the successful candidate shall define the research topic within the given thematic area; perform experiments, interviews, surveys, field visits, data collection, and analysis as required; write and
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field of optical data transmission. We offer the coveted combination of a scientific environment and insights into an industry-oriented way of working. In the area of high-speed signal generation, we
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Europe Research & Infrastructure: You will have access to excellent scientific and technical facilities for your work, ranging from high-performance computing and advanced imaging platforms to specialized
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Potsdam, Brandenburg | Germany | about 1 month ago
Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Area of research: Scientific / postdoctoral posts Job description:PostDoc in
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Advertisement for the field of study such as: Automation technology, computer science, cybernetics, aerospace engineering, mechanical engineering, mathematics, mechatronics, physics, control
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(clinic & AI) Modern work environment with state-of-the-art facilities and infrastructure Access to unique clinical datasets and high-performance computing Flexible working hours (19.25–38.5 h/week), 30
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academic performance. Experience with stochastic methods, risk and reliability analysis, and data analysis. Programming experience in Python, MATLAB, C/C++, or a similar language. Strong analytical