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video understanding in the new era of 4D understanding. Check Dima’s research interests and projects at: http://dimadamen.github.io/ Conducting novel research in 4D video understanding – contributing
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Overview This highly interdisciplinary position will focus on the modelling of paediatric bone across a wide age range (0-16 years) through the creation of digital twins based on paired CT and MRI
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of building and maintaining an open and supportive culture, acting as a role model and advocating for junior staff, and encouraging diversity across the Department. Your collaborative approach will enable
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projects, identifying areas for improvement and supporting cost efficiency opportunities. Data Management: Develop and execute modelling and cleansing plans, ensuring alignment of people, processes, and
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prostate cancer risk across diverse ethnic groups. This work aims to support more equitable risk stratification in cancer screening programmes. Using simulations based on multistate modelling framework
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representation. Evaluate Impact: Document a framework for assessing CAGF effectiveness within the ASA. Promote Best Practices: Contribute to establishing the Darak CAGF as a replicable model for Indigenous health
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the University of Sheffield. We take an innovative approach with an emphasis on interdisciplinary research using 2D and 3D models of cancer to test novel therapeutics for cancer. The principal aim of this exciting
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HPC Computational Engineer Salary: £42,858 (inclusive of Specialist Allowance) Location: Culham, Oxfordshire (Hybrid – 2–3 days onsite per week) Clearance: BPSS, including DBS and open-source checks
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). The post is funded by NIHR and is fixed-term for 24 months, with a possible extension. This project is about creating novel AI models to predict patient outcomes following acceptance or refusal of an offer
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modelling and cleansing plans, ensuring alignment of people, processes, and systems. Manage data from start to finish, including planning, execution, and validation. Stakeholder Collaboration: Collaborate