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, mechanical engineering, or related subject with a record of publishing in high-quality journals. Good skills in applied Computational Fluid Dynamics (CFD) methods and proven experience of leading research
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uncertainty quantification via conformal prediction. You’ll contribute to open-source projects, extending tools like MONAI for the computational pathology community, and support the data science team in
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values diversity acting as a role model and fostering an inclusive working culture Person Specification A First degree with strong quantitative and informatics component e.g. biological, biomedical
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programme is focused on 1) understanding the biology of paediatric medulloblastoma with a particular focus on the role of myc as an oncogenic driver, 2) exploiting therapeutic vulnerabilities in combination
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. You will also be responsible for implementing the model as a computer simulation and analysing it within a health-economics framework using standard computational techniques. You will also be
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Sciences, University of Birmingham, led by Dr Rebecca Drummond. We are looking for an enthusiastic and committed scientist to join our project team, which is aiming to better understand the in-host behaviour
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control. You will have interests in how integrated schistosomiasis control measures can be built into water management development. You will have strong analytical skills and desirably some computer
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, supported by PEACEPLUS, a programme managed by the Special EU Programmes Body (SEUPB). The PEACEPLUS programme is co-funded by the European Union, the Government of the United
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reinforcement learning, computational rationality and user modelling, and simulator-based inference. The post-holder will work on a project from Professor Kaski’s UKRI Turing AI World-Leading Fellowship. Research
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of the project. About You: A strong academic background, with fashion manufacturing expertise and interests in robotics, engineering, and related fields, A track record (or clear potential) of research excellence