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Field
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chemistry, physics, materials science, computer science or other related discipline. This 42-month studentship comes with a budget for training, conference attendance as well as for travel between Birmingham
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bioinformatic tools and focused on clear interpretation and communication of this data. This project is part of an exciting new Doctoral Training Programme in Microbial Genomics for Health Protection in
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The University of Exeter’s Department of Management is inviting applications for a PhD studentship funded by the Isles of Scilly Community Venture CIC to commence on 22 September 2025 or as soon as possible thereafter. For eligible students the studentship will cover Home tuition fees plus an...
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an exciting new Doctoral Training Programme in Microbial Genomics for Health Protection in collaboration with the UK Health Security Agency (UKHSA). This is funded by NIHR as part of a Health Protection Unit in
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flooding events and recreation in freshwater. This project is part of an exciting new Doctoral Training Programme in Microbial Genomics for Health Protection in collaboration with the UK Health Security
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health genomics, combining academic research with front-line public health intervention experience. This project is part of an exciting new Doctoral Training Programme in Microbial Genomics for Health
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of the project is to 1) develop computational pipelines for image analysis and physical analysis of cell shape trajectories, and for combined morpho-molecular analysis of cell shape together with molecular markers
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entry requirements for our PhD programme . How to apply Please navigate to this page , where you can find more information on how the project sits within the sponsor organisation and in the university
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Theme: Energy and Sustainability Project P number: P25303 Start date: 29/09/2025 Studentship funding Sponsored by Sponsored by EPSRC and Hydrogen Waves Ltd., this DTP studentship will provide a bursary of up to £20,780 (tax free) plus fees* for four years. Type of opportunity Eligibility &...
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Engineering, Computer Science or related disciplines. Experience in autonomous system, manufacturing/robotics and machine vision development will be an advantage. To apply please contact the supervisor, Dr Kun