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. However, the pathological mechanisms leading to epilepsy and liver failure in patients with Alpers’ syndrome remain unknown. This PhD studentship will investigate the causes of neurological impairment and
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Joint Industrial and EPSRC-funded PhD studentship in the Synthesis and Processing of Novel Biomaterials, in partnership with Haleon Applications are invited for a PhD Studentship, with an October
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engineering, medical physics, image analysis, computational neuroscience or quantitative psychology is desirable. If you would like to work on a PhD project about biological understanding of human diseases and
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programme type (Research), 2025/26, Faculty of Engineering and Physical Sciences, next page select “PhD Engineering & Environment (Full time)”. In Section 2 of the application form you should insert the name
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for this scholarship. Please note: Acceptance to the PhD Programme does not mean individuals will be awarded a scholarship they are separate processes. Closing date:23.59pm [BST]on 27th June. Applications submitted
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account and use the link sent by email to start the application process. During the application process please select the PhD in Psychology. *Important notes* 1) Please quote the reference ‘DRC25-023’ in
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catalyst synthesis and lab-based characterisation, catalysis process and as well as advanced spectroscopic methods. As part of the PhD, the student will be encouraged and expected to present their results
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edaphic conditions in this island group. Plant material is already available so the focus is on laboratory and computing techniques. During the placement you will be taught DNA extraction, DNA data handling
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; EPSRC Centre for Doctoral Training in Green Industrial Futures | Edinburgh, Scotland | United Kingdom | 3 months ago
This is a fully-funded 4 year PhD offering an annual tax-free stipend of £20,780, tuition fees and an enhanced research and training grant. This PhD is one of a number of projects hosted by
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physical activity and achieve high function without pain. The National Joint Registry (NJR) has a decade of TAR data that has already been used to identify risk of failure associated with age, BMI and