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About the Role We are seeking a researcher for a new programme focused on improving understanding of cancer risk and developing novel multicancer risk prediction models to support cancer prevention
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have a PhD and track record in either computer science with specialisation in relevant AI technologies for surrogate modelling, or in Earth or Environmental Science with a strong track record in
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. As a result, we actively collaborate with experts in Computer Science as part of Royal Holloway’s Centre for AI. In return we offer a highly competitive rewards and benefits package including: Generous
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About the Role The purpose of this role is to provide qualitative and quantitative research support for a research and impact programme on food reformulation. This role sits within the Research and
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motivated computational Postdoctoral Research Assistant to lead on an established and successful research line aimed at understanding the genetic events that drive cancer evolution. We have a long-lasting
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applicants from a wide range of disciplines proposing other or complementary approaches from those disciplines e.g. political science, public policy analysis, human geography, anthropology, sociology, critical
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an ambitious and self-motivated postdoctoral researcher either with a PhD (or close to completion*) in a relevant subject, with a strong background in molecular and cellular biology, biochemistry, genetics
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to completion*) in a relevant subject and a proven track record in computational biology and data science, coming from either a bioinformatic or computational background. With experience of working with large
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et al, Leukemia 2018; Poynton et al, Blood Adv 2023; Coulter et al, J Mol Diagn 2024). The wet lab/computational biology postdoc will lead a project investigating residual follicular lymphoma cell
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-purposing. This role is a fantastic opportunity for someone passionate about leading innovative research and making impactful contributions to the field of computational biology. You will hold a PhD (or close