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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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skills in distributed machine learning, networked systems, data management, and/or software engineering are recommended for this position. The post requires strong programming and system development
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for medical applications, working on software and hardware aspects for soft/eversion robots operating in remote locations, ultimately achieving fully functional prototypes. You will work in a team within the
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desirable if the post holder has experience in the development of production-quality software, computational Bayesian inference, and strong communication skills. For more information see the detailed job
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care using Eppi Reviewer software and writing of evidence briefings for Integrated Care Systems based on the Living Map. The role is an exciting opportunity to combine evaluation skills with policy and
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of production-quality software, the application of Simulation Based Inference and strong communication skills. For more information see the detailed job description and person specification. Research Environment