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development opportunities through a variety of training programs and participation in international conferences The weekly working time is 39 hours. This position is also available on a part-time basis. The
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an unparalleled PhD opportunity. This groundbreaking initiative funded by EPSRC, brings together the world-leading expertise of the University of Surrey and Queen's University Belfast. Program Highlights: Enhanced
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enrolment to the PhD programme agreed by both Universities. The studentship will be hosted at Swansea University given the location of the SUSIM Centre. Whilst time at the University of Canberra is not
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for the PhD degree is subject to academic approval, and the candidate will be enrolled in one of the general degree programs at DTU. For information about our enrolment requirements and the general planning
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flagship programme of research, Inventing Futures (IFs) . This studentship is for full-time study and covers home-level fees and an annual stipend at the level set by UKRI . International candidates
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. The program will equip doctoral candidates with the technical, analytical, and ethical skills needed to lead the future of patient-centered, AI-driven medicine. The advertised PhD project aims to develop robust
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(worth approx. £15-17k across full PhD programme). Monthly stipend based on £20,780 per annum, pro rata, tax free. Application deadline: 4 January Person Specification (What we are looking for) We welcome
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research and strong written and oral communication skills, as we can complete existing strengths with targeted training. Funding This fully funded Connected Waters Leverhulme Doctoral programme studentship
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Max Planck Institute for the Structure and Dynamics of Matter, Hamburg | Hamburg, Hamburg | Germany | 3 months ago
Job Offer from October 20, 2025 The International Max Planck Research School for Ultrafast Imaging and Structural Dynamics in Hamburg, Germany, offers a structured PhD program focusing on ultra-fast
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qualifications include a Master's degree in computational biology or a related field. Prior experience with programming, statistics and biomedical research is essential, while experience with machine learning is