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research projects investigating novel strategies, discovered within our group, to combat heart failure. The work will integrate studies using isolated cell systems with advanced in vivo models, with a
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managing and working with complex, high-dimensional datasets, ideally in the life sciences, and should be comfortable using open-source data management and analysis tools (e.g., R, Python, SQL, or similar
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Professor Chris Russell. This is an exciting opportunity for you to work at the cutting edge of AI, contributing to a major shift in how we understand and apply foundation models. The position is full-time
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the cellular and molecular mechanisms driving tumour development. In this role, you will support a team of scientists using genetically engineered mouse models (GEMMs) and transplantable tumour models (e.g
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) information-theoretic active learning, and c) capturing uncertainty in deep learning models (including large language models). The successful postholder will hold or be close to the completion of a PhD/DPhil in
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publications and outputs to support capacity building activities and a long-lasting socio-economic impact. You’ll work closely with Dr Chiara Candelise to study how and whether varying business models and
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security screening before you can commence in the role. About you The successful applicant will be able to present information on research progress and outcomes, communicate complex information, orally, in
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the proto-oncogene c-Myc biology of the tumour suppressor Arf and p53 Reversibly switchable mouse models and technologies Downloading a copy of our Job Description Full details of the role and the skills
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models to study direct interaction between macrophages and other tissue resident cells. Additionally, you will test hypotheses and analyse scientific data from a variety of sources, reviewing and refining
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position in computational biology combines the development of novel computational methods involving control theory with practical systems modelling, simulation, and data analysis, applied first and foremost