155 structural-engineering "https:" "https:" "https:" "https:" "https:" "Brunel University London" PhD positions in Belgium
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. Dr Tom Van Doorsselaere (Tel.: +32 16 32 70 03, email: tom.vandoorsselaere@kuleuven.be ) or Prof. Dr Fabio Bacchini (email: fabio.bacchini@kuleuven.be ). Where to apply Website https://www.kuleuven.be
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https://www.thisissuper.eu Work Location(s) Number of offers available1Company/InstituteGhent UniversityCountryBelgiumState/ProvinceEast FlandersCityGhentPostal Code9000StreetWatersportlaan 2 Contact City
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in or starting from the week of February 23, 2026. The starting date is negotiable, preferably in April or May 2026. Where to apply Website https://www.kuleuven.be/personeel/jobsite/jobs/60610329?hl=en
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. This can be proved in different ways. For more information visit the link. This procedure can only be started after reaching Ghent. https://stad.gent/en/international-students/paperwork-administration/your
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alliance. Where to apply Website https://academicpositions.com/ad/vrije-universiteit-brussel/2026/innovative-phd… Requirements Research FieldBiological sciencesYears of Research Experience1 - 4 Research
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Skłodowska-Curie Doctoral Networks (Horizon Europe). Where to apply Website https://forms.office.com/pages/responsepage.aspx?id=1JCwei76z068fEEntNWC7CXXHM3… Requirements Research FieldEconomicsEducation
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more. For more information, you may refer to https://www.uni.lu/snt-en/research-groups/trux/ . The successful candidate will: Conduct cutting-edge research in multimodal and multilingual natural
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here: https://edu.lu/wwpy7 Your role The successful candidate will join the SIGCOM Research Group, led by Prof. Symeon Chatzinotas, in collaboration with the Automation and Robotics Research Group, led
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refer to https://www.uni.lu/snt-en/research-groups/sigcom/ . Your role The successful candidate will join the SIGCOM Research Group, led by Prof. Symeon Chatzinotas. This PhD project aims to develop
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methods that exploit the geographical structure of metapopulation models; you investigate uncertainty-aware policy learning; develop explainable RL methods to communicate learned policies to policymakers