32 phd-position-for-fully-funded-reserch-in-computer-vision PhD positions at University of Cambridge
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Associate once the PhD has been awarded. Fixed-term: The funds for this post are available until 31 March 2028 in the first instance. Click the 'Apply' button below to register an account with our recruitment
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productivity. Thus, our work dissecting the mechanisms underpinning morphological diversification can have translational applications in agriculture. For these positions, the successful candidates will
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of transposon-derived variation and its role in functional genetic variation and genome evolution in animals. A PhD in a biological science or computational science is essential for this role. Those who have
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A position exists for a Research Assistant/Associate in High TRL Aerothermal Testing at the Department of Engineering. You will join the growing National Centre for Propulsion and Power team, based
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A position exists, for a Research Assistant/Associate in the Department of Engineering, to work on a European consortium project, UP2030. UP2030 aims to support cities in driving the transitions
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equitable. This UKRI Frontier project was selected for funding by the European Research Council (ERC) and is led by Prof. Anna Korhonen. The goal of the project is to investigate the challenges in
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of the start date) Salary: Grade 5: £32,546 - £35,116 Grade 7*: £35,116 - £45,413 The funds for these posts are available until 6 months from commencement in post. This is a full-time position. Location
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provided with research space for the duration of the CDA, a local mentor, access to PhD and MPhil students, and matched seed funding for equipment to strengthen the CDA proposal. Applications (CV and cover
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Fixed-term: The funds for this post are available until 30 April 2027 in the first instance with good prospects for further extension subject to grant funding. The anticipated start date is 1st
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Trust. The successful candidate will work closely with the PI and a PhD student within a larger cross-disciplinary team to construct a quantitative computational model of carbonate biomineralisation