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Project Summary: This is a fully funded 4-year PhD position with the aim of developing new materials that can make decisions about their own movement in response to stimuli. Many biological
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to gain security clearance and limited to UK Nationals only. Research Proposal In this research project you will design, build, and test a new set of ultra-thin, specially structured surfaces, exploring
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the above ‘Apply’ button. Please add only ‘Unsupervised Machine Learning for Cardiovascular Image Analysis’ in the research proposal box. Application deadline: 15th Sep 2025 (or until the position has been
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track record in the fields of immunology or infectious diseases, compelling research plans that complement ongoing work at CITIID, and a strong commitment to contributing to a positive, collaborative
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A funded PhD position is available on a project funded by the Leverhulme Trust. Description below: The density of information content in screen media – i.e., the light, volume and pitch changes from
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PhD Studentship: Dissecting the Molecular Architecture and Function of LMTK3 as a Therapeutic Target
related subject area. You may also be considered for the position if you have other professional qualifications or experience of equivalent standing. Candidates for whom English is not their first language
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codes for analysis; coordinate with the PI and Lab Manager; participate in regular group meetings and other group activities. Fixed term: The position is available with a flexible starting date. The funds
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and the surrounding area provide an excellent working and living environment for staff and students alike. Harper Adams is consistently positioned highly in a range of national ratings, performance
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How many positions: 1 Open to Uk students This 3.5 year PhD is fully funded for home students; the successful candidate will receive a tax-free stipend set at UKRI rates (£20,780 for 2025/26) and
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status, in exceptionally large population-based studies (e.g., UK Biobank and EPIC Norfolk cohorts with over 100,000 study participants, with repeat assessment in a sub-set). Findings will provide