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Phd Studentship in Computer Science: Empirical Security Assessment of AI Decision Engines in Cyber-Physical Systems Award Summary 100% home fees covered, and a minimum tax-free annual living
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The GW4 BioMed3 Doctoral Landscape Programme is offering up to 18 MRC funded studentships across a range of biomedical disciplines, with a start date of October 2027. These four-year studentships provide funding for fees and stipend at the rate set by the UKRI, as well as other research training...
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15th October 2026 Languages English English Norsk Nynorsk English PhD position at the Department of Geography Apply for this job See advertisement UiB - Knowledge that shapes society UiB shall be
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for applications: 30th September 2026 Interviews will be held on 21st October 2026 The candidate must be in a position to register by January 2027 Project overview This fully funded PhD studentship, supported by
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FieldEngineering » Materials engineeringEducation LevelPhD or equivalent Skills/Qualifications Hold a Ph.D. in Applied Physics, Organic Electronics, Materials Science, Chemical Engineering, or related disciplines
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%) with a start date of 1 October 2026 (or as agreed). Description of PhD Project The research focuses on the clinical and preclinical development of radionuclide therapy and advanced imaging methodologies
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of the mechanisms underlying health and disease? We are offering a PhD position within the national doctoral school BioLabX, as part of the research project “Oral Microbiome Eco-Mechanics—Host Genetics
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PhD Scholarship in Development of Cement-Free Living Building Materials for Sustainable Construction
Do you want to launch your scientific career by developing the next generation of living building materials for sustainable construction? Join DTU Construct as PhD candidate and contribute
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PhD position on Exposing the Contribution of Epialleles to Heritable Variation Faculty: Faculty of Science Department: Department of Biology Hours per week: 36 to 40 Application deadline: 17
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? We are looking for a PhD candidate to develop AI methods that extend current sets of flood scenarios derived from physical and numerical models, incorporate climate change effects, and then use