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programme of study: · search for the ‘Course Title’ using the programme code: 8208F · leave the ‘Research Area' field blank · select ‘PhD Energy
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The Faculty of Science and the Leiden Institute of Advanced Computer Science (LIACS) are looking for: 3 PhD Candidates in Generative AI for Industrial Design Engineering (GenAIDE) Project Why apply
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Application deadline: 23 September 2025 Apply now Are you eager to advance research at the crossroads of language, AI, and geography? As a PhD candidate in the ERC-funded GeoTrAnsQData project at Utrecht
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sciences such as biology, biochemistry, pharmacy or equivalent Language skills (according to GER): English – C1 The successful candidate will also be expected to: Enthusiasm for science and interdisciplinary
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Apply now The Faculty of Science and the Leiden Institute of Advanced Computer Science (LIACS) are looking for: 3 PhD Candidates in Generative AI for Industrial Design Engineering (GenAIDE) Project
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‘Research Area' field blank select ‘PhD Energy Materials' as the programme of study You will then need to provide the following information in the ‘Further Details’ section: a ‘Personal Statement’ (this is a
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(or equivalent score) both for the programme in total and the master’s thesis. See admission requirements: PhD in Biosciences A good knowledge and practical experience in molecular ecology, population genetics
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University of Veterinary Medicine Hannover • | Hannover, Niedersachsen | Germany | about 9 hours ago
Degree PhD or (if applicable Dr rer nat) Course location Hannover Teaching language English Languages English (100%) Full-time / part-time full-time Programme duration 6 semesters Beginning Winter
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organising and conducting their own research project (under supervision). The programme culminates in the submission of a PhD thesis, which the student must defend in public. The programme is prescribed to 180
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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 Description 1–2 PhD students in