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optimisation techniques and AI-based models to support decision-making in microgrid design and operation. Working in collaboration with a leading global mission critical firm of engineers, this project offers
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. Concurrently, you will develop lower order analytical models and perform high fidelity computational simulations to corroborate experimental findings and propose other configurations to be subsequently
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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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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. The School
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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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focuses on combining Tip-Enhanced Raman Spectroscopy (TERS) with artificial intelligence to enable automated structure discovery of organic molecules. By training machine learning models on datasets
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of the following: 1) Advanced microscope working experience. 2) Working experience with rodent models. Preferable if mouse genetics and mouse colony management is involved. Track record of research: This will
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-mechanical model of microwave circuits Electromagnetic modeling of microwave circuits CAD design of microwave circuits Room temperature and cryogenic measurement setups for microwave circuits Execution and
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develop, spread, and scale a co-produced model of placemaking. The project spans more than 35 miles of three green corridors in the North East: The Tyne Derwent Way in Gateshead, Durham City Green Corridor