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, microfluidics, laboratory automation, and GPU computing infrastructure. The opportunity to develop AI methods and scientific software that are directly deployed on cutting-edge experimental platforms. Vacation
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21 Jul 2026 Job Information Organisation/Company Max Planck Institute for Marine Microbiology Research Field Environmental science Computer science Researcher Profile Recognised Researcher (R2
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Chair and Institute of Man-Machine Interaction | Aachen, Nordrhein Westfalen | Germany | 2 months ago
Computer Science, Data Science, Artificial Intelligence, Electrical Engineering, Computer Engineering, or a related field Very good programming skills in Python as well as experience with common ML/LLM frameworks A
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description As the German National Library of Science and Technology
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combines scientific excellence with cutting-edge software engineering, delivering robust, efficient, and scalable performance on current and future exascale computing platforms. The successful candidate will
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Karlsruhe Institute of Technology - Institute of Applied Geosciences - Division of Geothermal Research | Karlsruhe, Baden W rttemberg | Germany | 3 months ago
27 Jun 2026 Job Information Organisation/Company Karlsruhe Institute of Technology - Institute of Applied Geosciences - Division of Geothermal Research Research Field Technology Computer science
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the consortium. Your Profile Excellent Master in Computer Science, Engineering, Biophysics, Applied Mathematics, Computational Biology, or a related discipline Proven programming expertise in Python (scientific
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infrastructure combines scientific excellence with cutting-edge software engineering, delivering robust, efficient, and scalable performance on current and future exascale computing platforms. The successful
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available in the further tabs (e.g. “Application requirements”). Objective Advanced students of engineering sciences of the Argentinean Association of Technical Universities (Universidad Tecnológica Nacional
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. Who can apply? Advanced students of engineering sciences at Argentinean universities or researchers in publicly funded institutions with Argentinean nationality up to an age of usually 26 years. What