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their application materials which of the three projects they are most interested in working on. About you You are working toward a doctorate in a social science discipline (or a relevant data science field), have
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School of Architecture, Built Environment, Computing and Engineering BIRMINGHAM CITY UNIVERSITY For almost two centuries, Birmingham City University has shaped thousands of lives. We have helped
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-treatment facilities, and biorefineries. Feedstock choice, regional dynamics, and process side-streams all affect costs, energy use, and emissions. This PhD project will develop advanced computational models
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systems. Applicants should have, or expect to achieve, at least a 2.1 honours degree or a master’s (or international equivalent) in a relevant science or engineering related discipline. *Solid background in
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to apply: Please choose Electrical and Electronic Engineering Research Program and Control and Power Group, then indicate Professor Balarko Chaudhuri as a potential supervisor when making the application
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Announcing 10 PhD Studentships within the Royal Holloway Social Purpose Centre for Doctoral Training
for the Everyday). We have an excellent Researcher Development programme, and wider institutional postgraduate training. We are committed to supporting a strong and growing PGR community, including PGR-Led
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respond during platelet formation and how diseases like long COVID may alter this process. The goal is to better understand the biology of platelet production and improve lab-based methods for generating
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at the John Innes Centre, providing opportunities to develop extensive skills in a breadth of areas, including field surveys, plant pathology, molecular biology, and computational biology. Additionally, you
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an implementation support package Project Supervisors: Dr Sam McLean Prof Beth Fylan Dr Justine Tomlinson Jaspreet Sohal Project Description: This is a fully funded training programme to conduct research
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through The Lupus Trust. Training programme: Evidence synthesis, qualitative methods and analysis, mixed methods, statistical analysis potentially including meta-analysis, intensive longitudinal methods