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Description Specifics of position: This position is funded by the joint PhD program between Imperial College London (ICL) and Centre national de la recherche scientifique (CNRS), therefore the candidate will
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sustainable and circular value chain in the automotive sector. We are looking to recruit two outstanding Home PhD students as part of this new collaboration between JLR and Imperial College London, with
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advanced technological integrations. The selected PhD candidate will have the opportunity to collaborate with prestigious institutions, including the Personal Robotics Lab at Imperial College London and the
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-motivated person who meets the academic requirements for enrolment for the PhD degree at Imperial College London. You should hold or expect to obtain a 1st class honours or a high 2:1 degree at Master’s level
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related research programs. The project is part of a larger collaboration involving colleagues at Imperial College London and you will have the opportunity to collaborate with key Industrial partners as
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consortium of Arizona State University, University of Adelaide, University of Toronto, and within the UK, Universities Cranfield, Birmingham, Cambridge, Imperial College London, and Newcastle. The HyPT will
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for the dramatic increase in the number of spacecraft and subsystems that will be produced in the next decade. The purpose of this PhD activity is to develop a model to predict the performance of spacecraft
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of the project team including Dr. Toby Ellmers (Imperial College London), Dr. Fei He (CU) and Dr Simon Ellis (CU). The post holder will be housed within the Centre for Physical Activity, Sport and Exercise
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, including academics from the University of Southampton and experts from University of Oxford, Imperial College London, Fudan University, etc. Techniques to be used. Image analysis Aim: create 3D anatomical
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-Universitaet Heidelberg (DE), and Imperial College London (UK). Your qualities you have an MSc degree (or equivalent) in biophysics, soft matter, nanotechnology, physical chemistry, or a related field; you have