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15 Aug 2026 Job Information Organisation/Company Leiden University Research Field Computer science » Informatics Computer science » Programming Engineering » Computer engineering Engineering
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PhD in Computational Imaging for High-Throughput Applications (1.0 fte) As a PhD student, you will be embedded in the research group Computational Imaging and Deep Learning (CIDL), part of
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Applicable Hours Per Week 38.0 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
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) Application Deadline 1 Nov 2026 - 22:59 (UTC) Country Netherlands Type of Contract Temporary Job Status Not Applicable Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
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PhD candidate for the project "Modulation of inflammatory Dendritic cell subsets in atherosclerosis"
(UTC) Country Netherlands Type of Contract Temporary Job Status Not Applicable Hours Per Week 38.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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, focusing in particular on perception, working memory and cognitive control in younger and older (70-80 years) adults Performing advanced data analyses, including computational modelling of behavioural data
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at the Faculty of Science is very diverse, ranging from mathematics, information science, astronomy, physics, chemistry and bio-pharmaceutical sciences to biology and environmental sciences. The research
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PhD programme in Mathematics at Lund University . What you will do You are invited to apply for a 4-year PhD position leading to a two paired PhD diplomas of Leiden University and Lund University. You
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Project description This project is part of the MSCA Doctoral Networks program e-ChemIn, connecting 10 research institutes and 3 companies across Europe in a joint effort to identify design
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position within the field of mathematical or theoretical biology, computational physics, applied mathematics or computational science. This PhD project is part of the Gravitation programme GreenTE (Green