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The School of Chemical Engineering is seeking a Research Fellow with a background of Soft Matter at Surfaces and Interfaces, to address a series of fundamental challenges underpinning strategies for designing
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research programme at King’s, focussed on establishing a competitive research niche and positioning them to apply for intermediate-level post-doctoral fellowships to consolidate their careers, from Research
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the growth of the company. The need is to develop significantly larger system designs and simulations and to embed the added knowledge into the business as a legacy capability to reduce the reliance
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will primarily support the Head of School (Professor George Panoutsos, Chair in Computational Intelligence) and his research activities in the area of Machine Learning (ML) for Engineering, focusing
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members of its community. What you will get in return: Fantastic market leading Pension scheme Excellent employee health and wellbeing services including an Employee Assistance Programme Exceptional
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design and develop advanced machine learning methods - particularly in computer vision - for cancer and computational pathology research. Your work will span self-supervised and supervised learning
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design and develop advanced machine learning methods - particularly in computer vision - for cancer and computational pathology research. Your work will span self-supervised and supervised learning
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and fuel cells. The research also includes the economic and life cycle analysis, and marketing plan of the fabricated GDL product, as well as identify the potential risks associated with the workplan
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, statistical and/or econometric analysis, and developing non-randomised study designs for the evaluation of care technologies or services. ● Write up research methods and findings within reports
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-based role focusses on electromagnetic design, computational modelling (e.g., COMSOL, CST, ANSYS), dielectric characterisation, and testing that help to bridge the gap between laboratory-scale research