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Field
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of Stuart Hall's many areas of interest: cultural studies, race, ethnicity and inequalities. Please note that existing postgraduate research students and applicants for distance learning PhD programmes cannot
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information from high-quality videos that share content with distorted footage as constraints in the learning process of modelling algorithms. This method uses the characteristics and knowledge embedded in high
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: Essential: A very good undergraduate degree (at least a UK 2:1 honours degree or equivalent) in a field related to biomedical science, biochemistry or pharmacology Desirable: MSc or MRes in a relevant
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one of the following analysis techniques (multiple preferred): normative modelling, dimensionality reduction techniques, machine learning, deep-learning, state space modelling, advanced statistics
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attend specialist MSc modules if needed. At a glance Application deadline02 Jul 2025 Award type(s)PhD Start date29 Sep 2025 Duration of award4 years EligibilityUK, US, Rest of world Reference numberSATM550
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progression to PhD depending on performance during the initial period. Main duties and responsibilities Admin - ordering consumables, tracking cost and use of consumables PIL training - opportunity to acquire a
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an early warning system of dementia, to be exploited within existing healthcare pathways to trigger early intervention. Skills acquisition The studentship will provide training in data-analytics, statistics
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statistical analyses, strong understanding of the strengths and weaknesses of scientific research and / or experience of qualitative research. Expertise will be gained in how to design and conduct a clinical
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’ qualification (MSc) in a science and technology field such as Metallurgy, Chemical Engineering, ceramics, Materials Science and Engineering, Manufacturing, Physics, Chemistry, A passion and enthusiasm to
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area, have extensive experience in conducting model-based economic evaluations using suitable statistical software (e.g. R or Python) and the ability to work independently, prioritise your own workload