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interest to identify cancer drivers from genomic data using machine learning (Mourikis Nature Comms 2019, Nulsen Genome Medicine 2021), study their interplay the immune microenvironment (Misetic Genome
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under real-world conditions. The role includes collaboration with leading 2D materials manufacturers, offering potential for interdisciplinary research and travel. About You You should have a PhD (or be
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help supervise BSc, MSci, and PhD students. The successful applicant will have a PhD in Astrophysics, Theoretical Physics, or a related discipline and prior experience relevant to the post. It is also
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at each stage of the recruitment process for any candidate with a disability. We are open to considering applications from candidates wishing to work flexibly. *PhD candidates who are close to completion
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and clinical practice. About You Applicants should have a PhD (or be close to completion) or research qualification/experience equivalent to PhD level in the relevant subject area. Experience conducting
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to someone proactive and ambitious who has obtained their PhD and has begun an academic career in epidemiology, pharmacoepidemiology, or medical statistics, with a focus on causal inference methods applied
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PhD (or close to completion) or research qualification/experience equivalent to PhD level in the relevant subject area for the research programme; with a productive track record and have experience
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collaboratively with Professor Martin Coward on projects focused on the nature of war, political violence, materiality, and pessimism. In addition to collaborating on research and publications with Professor Coward
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Science. The successful candidate will contribute to the UKRI and EU-funded project PALPABLE, which focuses on developing advanced optical palpation devices for minimally invasive surgery. Key duties
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You will have a PhD in Computer Science or a related discipline or will have obtained it by commencement of the position. Successful candidates will have experience of model training methodologies