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Field
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of the brain requires the collaborative efforts of neurobiologists, neuropsychologists, cognitive scientists, medical researchers, computer scientists, mathematicians, physicists and engineers. Computational
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the individual PhD student. The majority of courses will be conducted by the faculty of the University of Veterinary Medicine Hannover, with supplementary courses conducted by visiting scientists. All courses
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investing in your personal and professional development. For more information, please visit Working at Utrecht University . About us A better future for everyone. This ambition motivates our scientists in
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starting date 1 September 2026. Who we are In Computer Science, Aalborg University has more than 170 scientific staff, including the 2 most cited Danish computer scientists, 20 administrative staff, and
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-time full-time Programme duration 6 semesters Beginning Only for doctoral programmes: any time Application deadline Applications are possible throughout the year. For more information, please see: https
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results with a thesis advisory committee attend additional courses attend lectures with guest scientists discuss their goals and career options with a career development adviser attend summer schools get to
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28 Feb 2026 Job Information Organisation/Company University of Innsbruck Department Faculty of Engineering Sciences Research Field Technology Researcher Profile First Stage Researcher (R1
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Max Planck Institute for Intelligent Systems, Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 1 month ago
) | Computer Vision The Optics & Sensing Laboratory (OSLab) at the Max Planck Institute for Intelligent Systems in Tübingen (Germany) has an open position for a Doctoral Researcher for the project “WeGaze
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24 Mar 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Biological sciences » Biological engineering Biological sciences » Biology Technology
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of data scientists, software engineers, and experimental researchers on topics including: Developing multi-scale and multi-modal representation learning methods for scientific imaging data (e.g., SEM