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:59 (UTC) Country France Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 1 Apr 2026 Is the job funded through the EU Research Framework Programme? Horizon 2020 Is
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established protocols and contribute to the design and optimization of new experimental protocols and workflows. In addition, the candidate will be responsible for the maintenance and servicing of critical
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optimization. Your future tasks Participation in research, teaching and administration in the field of Computer Science in Sport / Data Analytics in Sport. This involves: Developing and strengthening
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adaptive systems that jointly optimize morphology and control for real-world physical interaction. Requirements Ph.D. in Computer Science or a related discipline. Strong background in Machine Learning
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Are you excited about pioneering experimental quantum computing? Do you want to be part of a world-class research environment developing the next generation of superconducting quantum processors? We
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perturbation models across diverse single-cell datasets Collaborate closely with Helical-AI on scaling, optimization, and integration of the developed models within an HPC-enabled industrial pipeline Publish
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and machine-learning-driven optimization frameworks for polymer composite manufacturing processes. This position resides in the Composites Innovation Group in the Manufacturing Science Division (MSD
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experimental animals Experience implementing and optimizing eye tracking, body tracking, and/or visual reality environments Proficiency in Python and scientific computing libraries Familiarity with spike sorting
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Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Join TU Delft
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Swarm Intelligence, Reinforcement Learning and Optimization Techniques. As a Postdoctoral researcher, you will: Lead cutting edge research in Swarm Intelligence and Machine Learning, addressing challenges