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supports the semi-automated checking of research outputs, including machine learning and Artificial Intelligence models. Working closely with the Research and Innovation Platforms Team, you will oversee
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produce transparent analytic models to then be validated with real world data. As such is the scope, candidates for this project must have strong mathematical skills together with coding and data handling
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physics phenomena. The PhD candidate will take advantage of the new ATLAS data to undertake novel measurements of the fundamental interactions and parameters of the Standard Model (SM) that underpin our
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services including data sensing, information flow and processing, and associated information decisions with computational intelligence and control. The increasing size and complexity in cyber systems pose
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temperatures to determine their suitability. Developing models to predict wear, friction, and chip formation, integrating coating, lubricant, and coolant effects. Building a data-driven AI model to analyze
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GIF CDT: A Novel Gas/Liquid contactor for Direct Air Capture and industrial CO2 capture technologies
applications for the following project. This advert will close when a suitable candidate is identified, so early application is encouraged. The CDT boasts an exciting and challenging programme specifically
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castings industry. The AMRC Castings Group is a leader in advancing casting technologies and techniques. Our team provides advanced casting expertise, including computer process modelling, design for casting
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for implementation. These suggestions may encompass the data modelling and/or a graphic user interface. The research methodology involves the creation of oral histories specifically connected to resources in
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not just be sitting at your desk all day using a computer, this EngD is a unique mix of hands-on lab work, experiments and computer modelling. You’ll: Use computational fluid dynamics (CFD) to model how
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, propagation modelling. The supervisor of this PhD is active in all areas of RF and MMIC design and SDR. Applicants should have, or expect to achieve, at least a 2:1 Bachelors/Masters Honours degree in