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Field
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motivated students with a strong background in engineering or computer science. The ideal candidate will have: Strong programming and software skills. An awareness of machine learning theory and techniques
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systems. The successful candidate should have a strong interest in mechanistic biology and in using experimental approaches to understand fundamental questions in cancer development. Computational
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, Physics, Computer Science, or a closely related discipline. The ideal candidate will have: A strong background in radar, microwave engineering, signal processing, electromagnetics, machine learning
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for stable maintenance of fully synthetic chromosomes within eukaryotic cells. We offer a highly collaborative multi-disciplinary PhD between the Nieduszynski (chromosome biology; technology development) and
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biology applications. The Norwich Research Park Biosciences Doctoral Training Programme (NRPDTP) is offering fully funded studentships for October 2026 entry. The programme offers postgraduates
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or Python). Knowledge of the social identity approach and health psychology models are essential, and experience of network science or computational modelling is desirable.
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The University of Exeter’s Department of Computer Science invites applications for a funded PhD studentship to commence on 21 September 2026, or as soon as possible thereafter. For eligible students
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: The studentship covers bench fees, stipend, and tuition fees Interviews: Interviews are expected to take place online in November 2026 Start date: 18 January 2027 Project Title:From nutrition science education to
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laboratory environment with some statistical methodology is desirable. How to apply Applications should be submitted via the Veterinary Medicine and Science PhD programme page. In place of a research proposal
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classification. The work will involve analytical studies, computer simulations, and finite element (FE) analysis, alongside experimental development and validation. Entry requirements The minimum entry requirement