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20 Dec 2025 Job Information Organisation/Company University of Twente (UT) Research Field Computer science » Informatics Computer science » Programming Engineering » Computer engineering Engineering
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 2 months ago
candidate will join the Inria centre of the University of Lille and be part of the LOKI research group, specialized in Human-Computer Interaction. It is affiliated with the CRIStAL laboratory (UMR 9189) and
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interfaces. About the Role The Postdoctoral Scholars will contribute to multidisciplinary research investigating how brain activity and neuroplasticity relate to motor recovery following neurological injury
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difficulties in the current computer simulations of biomolecules. Keywords: Polymer Chemistry, Molecular Dynamics, Data Science * details of the business RIKEN is Japan's largest and most comprehensive research
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] low temperature physics, Quantum computer, qubit, two-dimensional electron system,helium, neon * details of the business RIKEN is Japan's largest and most comprehensive research organization for basic and applied
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apparatuses, free space and fiber optics, precision interferometry, quantum optics, analog and digital controls, low noise electronics, simulation and modeling, finite element modeling, and computer programming
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a track record of designing neuromodulation and neuroimaging studies in healthy participants, of using computer programs to design experimental paradigms, analyse data and conduct advanced statistical
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written), time management, project management, and presentation skills Proficient with computer applications and programs associated with the position (i.e. Microsoft Office suite) Strong attention
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Job position requirements (skills/languages/required experience) Studies: Doctor in Molecular Biology, Biotechnology, Microbiology or similar. Computer: Knowledge of computer science, analysis and
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research team working at the intersection of machine learning, algorithmic fairness, human-computer interaction, and responsible AI. The project aims to investigate how bias emerges in data pipelines and AI