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tasks will include: 1. Evaluating supplier relationships, market effects, logistics dependencies, and long-term resource availability. 2. Developing an optimised supply chain model, including
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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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). 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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of a Disclosure and Barring Service (DBS) check. The post holder will typically be expected to work on the University of Birmingham campus three or more days per week. The post holder will also be
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data models for electronic health records of people with mental disorders, under the guidance of Dr Osimo and Prof Murray at Cambridge, and a line manager to be selected at Akrivia Health. The aim
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for either a Project Worker (M.Sc.) or a student Research Assistant to work on building AI models for adaptive gas sensing. The work is in the context of Business Finland -supported Research-to-business
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of original machine-learning based algorithms and models for multi-modal ultrasound guidance that are intuitive for a non-specialist to use while scanning and trustworthy. You will work with clinical domain
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. If the decision is made to open the post to external candidates, the strapline at the top will be removed and you will be given ample time to apply – please check back periodically for details. Cardiff