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to the new theoretical development of graph deep learning, and contribute to the research community of brain connectivity and network neuroscience. This is a joint Phd studentship between Coventry (UK) and
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to facilitate communication with technical staff and administrative services • Basic knowledge of mechanical engineering or experience with fiber spinning equipment is an advantage • Practical, hands-on skills
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PhD in a relevant discipline to the project: social science, anthropology, chemical or biomedical engineering Experience with qualitative research methods (e.g., ethnography, qualitative interviews
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offers access to state-of-the-art infrastructure and a vibrant scientific community. Join us in developing solutions for a rapidly changing world and help shape the future by working in an international
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Lars Åke Andersen 15th September 2025 Languages English English English The Faculty of Health Sciences PhD Candidate in Cardiac Biology at the Department of Medical Biology Apply for this job See
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Ecole Polytechnique Federale de Lausanne, Unsteady Flow Diagnostics Laboratory Position ID: Ecole Polytechnique Federale de Lausanne -Unsteady Flow Diagnostics Laboratory -PHD [#30284] Position
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offers access to state-of-the-art infrastructure and a vibrant scientific community. Join us in developing solutions for a rapidly changing world and help shape the future by working in an international
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Job Description If you are ambitious and seeking to contribute to developing novel chemistry for a sustainable future a possibility is right here for you. A 3-year PhD fellowship is available in
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Scandinavian language). For employment as a PhD Candidate, it is a prerequisite that you gain admission to the PhD programme in Materials Science and Engineering (https://www.ntnu.edu/studies/phmt ) within three
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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