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, such as AI providers and data center operators, to evaluate and compare scenarios to reduce emissions. The framework will be released as a software tool to guide emissions reduction strategies. The project
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of London. About You The successful candidate will hold a PhD (or close to completion*), in a relevant subject area (i.e., Health Services Research) and have qualitative analysis expertise and knowledge
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Centre in the Denmark Hill Campus. The applicant should have a PhD in Biomedical Engineering, Medical Physics, Medical Imaging, or a related area (or pending results). They should have good analytical and
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understanding of myocardial regeneration, neoangiogenesis, immunomodulation, and anti-fibrosis at the molecular level, with spatial resolution. To be successful in this role, you will hold a relevant PhD/Dphil
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developing characterisations of network models and interactions with methods in statistical machine learning. The post holder provides guidance to junior members of the research group including project
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range of mental health challenges. You will work closely with an experienced research team, which includes postdoctoral researchers, PhD students, and clinical experts. About the role: This is an exciting
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papers; presentation of research at conferences. Assist the development of student research skills, and be expected to contribute to the assessment of student knowledge (particularly PhD students) in
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multiple aspects of work to meet deadlines. You will adapt existing and develop new scientific techniques and experimental methods, as well as contribute ideas for new research projects. You will use
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understanding of myocardial regeneration, neoangiogenesis, immunomodulation, and anti-fibrosis at the molecular level, with spatial resolution. To be successful in this role, you will hold a relevant PhD/Dphil
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the advanced materials and manufacturing research theme. In addition, you will have the opportunity to work closely with a PhD student already recruited onto the project, as well as other project collaborators