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Postdoc Impact of Computational Infrastructures on Public Institutions and Administration of Justice
2 Sep 2025 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Computer science » Informatics Political sciences » Public policy Sociology » Social shaping
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Organisation Job description A postdoc position in computational social choice for AI Safety is available at the Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence
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Organisation Job description A postdoc position in computational social choice for AI Safety is available at the Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence
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Centrum Wiskunde & Informatica (CWI, the Dutch national research institute for mathematics and computer science) has a vacancy in the research group on Multiscale Dynamics for a Postdoc (m/f/x
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Mathematics, Computer Science and Artificial Intelligence. The environment fosters truly interdisciplinary research with a great track record of national and international collaboration transferring knowledge
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Mathematics, Computer Science and Artificial Intelligence. The environment fosters truly interdisciplinary research with a great track record of national and international collaboration transferring knowledge
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collaboration to advance climate adaptation and flood resilience in tidal estuaries. BONSAI is a project within the EU programme Interreg North-West Europe that aims to enhance flood resilience in tidal estuaries
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Netherlands Application Deadline 30 Sep 2025 - 22:00 (UTC) Type of Contract Temporary Job Status Not Applicable Hours Per Week 36.0 Is the job funded through the EU Research Framework Programme? Not funded by a
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perform a prospective trial at the Dutch Breast Cancer Screening Program to determine the impact on screening performance when optimizing the radiologist’s interpretation. This trial will involve two
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/video segmentation, object tracking, reinforcement learning. Deep learning Medical image computing (preferably x-ray imaging) Computationally efficient deep learning Deep learning model generalisation