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are looking for a motivated doctor with a strong interest in infectious diseases, vaccines, and academic medicine. Ideally suited for securing an MD(Res) or expanding your research portfolio, this role places
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The Royal Veterinary College, University of London; | Hawkshead, England | United Kingdom | 10 days ago
programme. In addition, this role will provide: Training in genomics and pathogen sequencing Opportunities to collaborate with academic and governmental partners Experience working within an interdisciplinary
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Queen's University Belfast. The post holder will support the progression of the technology from TRL 4/5 to TRL 6/7 under the Invest NI Proof of Concept (PoC) Stage 2 programme, ensuring robust analytical
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, Applied Mathematics, Physics, Acoustics, Computational Science or a closely related discipline. Strong experience in numerical/computational modelling (e.g., FEM/multiphysics, wave propagation
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• To abide by the University policies on Health and Safety and Equality and Diversity • Any other duties not included above, but consistent with the role. Person Specification Essential Criteria Qualifications
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to secure an MD(Res) or expand your research portfolio, and positions you at the heart of the Fleming Initiative - a transformative partnership between Imperial College London and Imperial College Healthcare
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Communities (ICC). The Think Tank is an independent academic initiative dedicated to influencing policy on child online safety, identifying legislative gaps, addressing emerging risks from AI, VR and new
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detector approximately eight times larger than that used in T2K. Hyper-Kamiokande will undertake a rich programme of physics, including studies of CP-violation, neutrino oscillations, proton decay
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fellows will undertake a programme of tailored research and training activities such as developing new interdisciplinary skills, developing impact from your previous research, undertake short-term research
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experience in Mechanical Engineering, Applied Mathematics, Physics, Acoustics, Computational Science or a closely related discipline. Strong experience in numerical/computational modelling (e.g., FEM