91 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Bournemouth University" Postdoctoral positions in Belgium
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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4 Dec 2025 Job Information Organisation/Company KU LEUVEN Research Field Philosophy » Philosophy of science Researcher Profile Recognised Researcher (R2) Country Belgium Application Deadline 16 Feb
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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%) postdoctoral scholarship holder in the field of redox flow batteries. More specifically, you will actively work within the frame of the European research project RECHARGE (https://elcat.be/erc-starting-grant
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Postdoctoral position to study species-specific mechanisms of gene regulation in human neurons. The Vanderhaeghen Lab (https://pvdhlab.org ) and the Aerts Lab (www.aertslab.org ) at VIB KULeuven
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ABOUT GHENT UNIVERSITY ABOUT ECOBIRD The Centre for Research on Ecology, Cognition, and Behaviour of Birds (EcoBird) at Ghent University (https://ecobird.ugent.be ) is dedicated to advancing our
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Sensing group, https://www.marsens-ugent.be/ ) investigates the vital link between marine ecosystems and ocean carbon cycling using innovative remote sensing and in situ observation technologies. Our
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revised in the current year except in case of indexation. For more information about our salary scales: https://www.ugent.be/en/work/talent/welcoming-new-staff/salaryscales - All Ghent University staff
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other personal merits Obtaining admission into US universities on time Additional specific conditions depend on the type of Fulbright scholarship. More information and FAQ can be found on the Fulbright
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at unprecedented resolution. The core innovation of your work will be integrating this data to train deep learning models that predict chromatin accessibility and gene expression patterns. These models will