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Field
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. As part of our project with the start-up testblu, we are looking for a Student
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EGI- and EOSC-aligned environments. Your tasks include Designing and developing containerized architectures optimized for EOSC cloud environments Building and operating high-performance compute
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research project on the optimal use of load flexibility in industry. You are passionate about applying cutting-edge information technology to solve the energy and climate crisis and would like to work in a
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(Erasmus+) Back Erasmus+ within Europe Erasmus+ worldwide Information for Back Prospective Students Current Students Staff Back Advice and help Computer and IT Staying healthy Communication and media Human
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Starting Date 1 Sep 2026 Is the job funded through the EU Research Framework Programme? Horizon Europe - ERC Reference Number 28985 Is the Job related to staff position within a Research Infrastructure? No
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Programme? Not funded by a EU programme Reference Number DR/112/26 Is the Job related to staff position within a Research Infrastructure? No Offer Description Faculty of Mathematics and Natural Sciences
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Programme? Not funded by a EU programme Reference Number DR/114/26 Is the Job related to staff position within a Research Infrastructure? No Offer Description Faculty of Mathematics and Natural Sciences
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Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. | Dortmund, Nordrhein Westfalen | Germany | about 2 months ago
, computer science, medicine, pharmacology, and physics. ISAS is a member of the Leibniz Association and is publicly funded by the Federal Republic of Germany and its federal states. We invite applications
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Aug 2026 - 21:00 (UTC) Country Germany Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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in the »Data Communication & Computing« division are using our work to enable novel communication networks for autonomous driving, high-performance interfaces in industry, and new approaches in