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- Delft University of Technology (TU Delft)
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- Delft University of Technology (TU Delft); yesterday published
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- Delft University of Technology (TU Delft); 16 Oct ’25 published
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18 Oct 2025 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Biological sciences » Biology Computer science » Informatics Computer science » Programming
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in Mathematics, Computer Science, or Statistics Proficiency in one or multiple programming languages (R, Python, Julia, MATLAB) Interest in infectious disease dynamics, public health, global health and
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11 Nov 2025 Job Information Organisation/Company ZHAW - Zurich University of Applied Sciences Research Field Engineering » Chemical engineering Chemistry Computer science Engineering » Electrical
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11 Nov 2025 Job Information Organisation/Company ZHAW - Zurich University of Applied Sciences Research Field Engineering » Chemical engineering Chemistry Computer science Engineering » Electrical
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Institute National De La Santé Et De La Recherche Médicale | Paris 15, le de France | France | 3 days ago
Computer science Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country France Application Deadline 30 Nov 2025 - 18:00 (Europe/Paris) Type of Contract Temporary Job Status Full-time Hours
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, engineering and design. It delivers world class results in education, research and innovation to address challenges in the areas of energy, climate, mobility, health and digital society. For generations, our
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discipline (computer science, neurosciences, biology, cognitive sciences) • Skills in perception psychology, neurosciences, machine learning, tracking technology and/or computer graphics as well as interest in
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10 Nov 2025 Job Information Organisation/Company Giessen University Department Psychology Research Field Psychological sciences » Psychology Computer science » Other Neurosciences » Other Researcher
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invite applications for a limited number of fully funded PhD studentships at the School of Physics, Engineering and Computer Science of the University of Hertfordshire. This is an exciting opportunity
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applicants typically have backgrounds in computer science, statistics or econometrics but should have an intrinsic interest for marketing problems. The PhD will be supervised by Prof. Dr. Lemmens and funded by