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engagement and development Our Exeter Academic initiative supporting high performing academics to achieve their potential and develop their career A multitude of staff benefits including sector leading
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Business directorate that works closely with our academics providing specialist support for external engagement and development Our Exeter Academic initiative supporting high performing academics to achieve
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performance computing systems in a way that is suitable for operational use. Implement and test different ML architectures, such as convolutional and encoders-decoder ANNs for predicting flooding in Bihar and
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experimental setup. iii. Conduct lab and site tests to evaluate the performance of NQR prototype. iv. Generate design documents and test documents at every stage of development until the final prototype
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vulnerable to hardware-level threats, including side-channel attacks, fault injections, etc., particularly when optimized for performance. This Research Fellow position focuses on AI security in the context
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spectroscopic data analysis. This role forms part of a larger research effort exploring advanced polymer processing techniques and data driven methods to improve material performance and manufacturing efficiency
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and Propulsion MSc course. The activities within the Centre encompass a very wide range of topics including gas turbine performance modelling, propulsion aerodynamics, icing, combustion, computational
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a specified range of activities within an established research programme and/or specific research project. We are looking for a Research Fellow to work in the area of polymer characterisation
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of the KIS Programme Manager and KIS Principal Investigator. The post-holder will also work collaboratively with funders, NHS staff, public members and other stakeholders to plan and deliver high-quality
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diffraction and computed tomography experiments, including Rietveld refinement. A track record of high-quality research outputs and a demonstrable commitment to research excellence. Experience in