469 affective-computing-"https:"-"https:"-"https:"-"UCL" PhD positions in United Kingdom
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for diagnosis and prediction of disease progression. The project will provide opportunity to: Be involved in a research project with direct clinical impact Develop expertise in VR based vision assessment Develop
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the ‘Sustainable Transitions – Leverhulme Doctoral Training Programme’ at the University of Essex. Only UK domiciled applicants who meet the following criteria may apply: Not already have a Master’s degree And Be
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the ‘Sustainable Transitions – Leverhulme Doctoral Training Programme’ at the University of Essex. Only UK domiciled applicants who meet the following criteria may apply: Not already have a Master’s degree And Be
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on this work, we have identified chemical compounds that show strong potential as adhesion inhibitors, completely blocking S. aureus attachment to corneocytes without affecting bacterial growth. The successful
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, etc.), or the equivalent qualifications gained outside the UK, in a relevant area of Physical Science, Materials Science, or Engineering. You should be able to demonstrate some computational
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environment, and gain experience in collaborative, impact driven research. We would welcome requests for flexible working and, depending on the needs of the role, blended working opportunities to work remotely
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for energy management and decarbonization. Vision We are seeking a PhD student that is motivated and passionate about the design and control of power electronics technologies that make real-world impact
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or computational frameworks, developed in collaboration with partners with modelling expertise. This PhD offers the opportunity to work at the interface of plant physiology, root biology, imaging and quantitative
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resilient. The PhD student will undertake a full research programme: interviewing participants, leading focus groups, designing studies, analysing data, developing models, designing technological, educational
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to structural design models to quantify the potential impact on key drivers of offshore wind farm economics. Specifically the impact of advanced wake models on wind farm energy yield forecasts, hence revenue, and