711 computer-programmer-"https:"-"https:"-"https:"-"Data-driven-Materials-Modeling" positions in Germany
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08.06.2026 Application deadline : 15.07.2026 The Cluster of Excellence "Machine Learning - New Perspectives for Science" at the University of Tübingen offers several positions as Early Career Research Group Leader for Machine Learning in Science (m/w/d; E14 TV-L, 100%) to be filled as soon as...
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As one of the world's largest solar energy research institutes, the Fraunhofer Institute for Solar Energy Systems ISE makes a significant contribution to a sustainable, economical, secure, and socially equitable energy supply worldwide. Our goal is to advance the energy transition by providing...
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department, Applied Cybersecurity, focuses cutting-edge problems in the foundations and applications of cryptography, including privacy‑enhancing technologies, secure and verifiable computation, and securing
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We are a young, innovative university located in the heart of the Ruhr metropolis. We pride ourselves in outstanding research and teaching, think in terms of opportunities rather than limitations and develop ideas with a view to the future. Diversity is an integral part of our culture as we...
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. Ideally, you already have practical experience in assembly and interconnection technology. You value contributing to your team and working together to achieve shared goals. You plan and complete tasks
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Advertisement for the field of study such as: automation technology, electrical engineering, computer science, cybernetics, aerospace engineering, mechanical engineering, mathematics, mechatronics
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available in the further tabs (e.g. “Application requirements”). Programme Description German and international students from any discipline and higher education institution are invited to apply
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range. Be part of change You will acquire comprehensive knowledge of processing transparent materials with UKP laser radiation. You will also plan and carry out experiments on the SLE laser processing
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sequencing). Strong expertise in exploratory data analysis (EDA) and machine learning. Excellent programming skills (e.g., Python, R) and experience working in Linux and high-performance computing (HPC
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addition, you will plan and independently conduct experiments on the SLE laser processing system. When using a microscope, you will measure stress distributions using the polarization contrast method