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to staff position within a Research Infrastructure? No Offer Description The Semantics, Cybersecurity and Services (SCS) group at the University of Twente is looking for a full-time PhD to join the
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Information Benefits As a PhD candidate at UT, you will be appointed to a full-time position for four years, with a qualifier in the first year, within a very stimulating and exciting scientific environment
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to staff position within a Research Infrastructure? No Offer Description Thousands of students across many technical programmes are taught mathematics every year at the University of Twente, by
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industry partners. The successful candidate will be embedded in the DMB research group, and the supervision will be ensured by Dr. Elena Mocanu and Prof. dr. Maurice van Keulen. This PhD position is part of
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related to staff position within a Research Infrastructure? No Offer Description The four-year PhD position starts on the 2nd of September 2024 (or as soon as possible thereafter). The research project will
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PhD position Facilitating the co-creation of sponge measures and strategies in European river basins
basin strategies to practical action perspectives. To address this challenge, this fully funded PhD position aims to develop approaches for inclusive, integrative and effective co-creation and knowledge
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available1Company/InstituteUniversiteit TwenteCountryNetherlandsCityEnschedePostal Code7522NBStreetDrienerlolaan 5Geofield Where to apply Website https://www.academictransfer.com/en/339874/phd-position-in-machine
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in English language and interpersonal skills. Additional Information Benefits A full-time 4-year PhD position. Excellent working conditions in a very exciting and creative environment within a green
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related to staff position within a Research Infrastructure? No Offer Description The Faculty of Behavioural, Management, and Social Sciences at the University of Twente is currently seeking a PhD-student
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to staff position within a Research Infrastructure? No Offer Description The main goals of this PhD project are: Develop novel sparse training algorithms that improve the scalability and energy