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, and use smart phone apps to collect passive and active data using a prospective observational cohort study design. We will use this data to develop and validate a personalised risk prediction algorithm
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, developing research proposals, management of research projects, supervising PhD, postgraduate and undergraduate students, demonstrating research excellence and leadership to more junior members in the research
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, post-docs and interns collaborating across universities to build better algorithms, software tools and benchmarks to assess the safety of AI implementations at the software and hardware level. We
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postgraduate demonstrators. It is envisaged that the post holder will provide support for marking student work as and when required. The successful candidate will hold a relevant PhD in a Biomedical Sciences
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of FGFR1/KLB to prevent cardiac microvascular impairment and pathological remodelling in response to metabolic stress’. We are recruiting highly motivated staff with a PhD degree (or expected to receive a
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is optimised for deployment across diverse industrial sites. Candidates should already hold or be nearing completion of a PhD in chemical/biochemical engineering, process systems engineering
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funding, and publish in internationally recognized journals. Additionally, they will supervise PhD students, manage externally funded research projects, and collaborate across the School of Health Sciences
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the boundaries of computational modelling and shaping the future of digital healthcare, this is the opportunity to bring your expertise to life! What you’ll need Applicants should have a PhD in
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a priori PBPK modelling for translation of oligonucleotide disposition, tissue clearance, and durability of effect”. The applicants should hold a PhD in a biomedical or pharmaceutical research area
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months. The successful candidate will have a PhD or equivalent in media and communication or a related field by the application date. The candidate will be expected to contribute to the development