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work employs genetically engineered mouse models, pharmacologic and surgical perturbations, and longitudinal phenotyping to interrogate disease initiation and progression at cellular, tissue, and systems
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to: Develop mechanistic and data-driven models to analyse concentration–response relationships and biological readouts from advanced in vitro assays Apply statistical and computational methods to quantify
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Engineering Department Location: Newport, Shropshire TF10 8NB Salary: £35,000 to £43,300 per annum (The point of entry will be dependent upon relevant qualifications and experience) Post Type
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Description About Us Ardent Process Technologies is on a mission to save the planet. We create technology to capture and reduce greenhouse gas emissions, avert global warming, and transform industry into a long
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. Experience in, or willingness to learn data-driven approaches, including artificial intelligence (AI) and machine learning (ML) models, to solve problems. The Successful Candidate Will A curious scholar with a
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qualifications (required at time of application) Doctoral degree in engineering, oceanography or a related field, with relevant background in data-driven modeling, machine learning and/or fluid mechanics
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21 Feb 2026 Job Information Organisation/Company Università degli Studi della Tuscia Research Field Engineering » Industrial engineering Researcher Profile Recognised Researcher (R2) Leading
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rupture, which is one cause of a stroke and thus the prediction of plaque rupture is very relevant. The steps in the development of surrogate models are building data-driven models from medical imaging
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the Research Grant Regulations of the Foundation for Science and Technology. 6. Work plan: The RiskMap project aims to develop an AI-driven tool to map degradation risks on historic building facades, using
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recently seen the first results in application to engineering materials for wear and plastic damage in steel. A significant opportunity is FLAME GPU general-purpose modelling framework developed in Sheffield