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applications are made at http://www.bris.ac.uk/pg-howtoapply . Please select PhD in Computer Science on the Programme Choice page. You will be prompted to enter details of the studentship in the Funding and
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this PhD project to: e.j.street@reading.ac.uk by the stated application deadline. Please state your preference regarding full or part-time study. To apply click Apply for a Programme and create your
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for the probability of occurrence of FBO responses. Applications are invited for a fully fundedPhD studentship (UK or EU or International) working on the project. The PhD student will join Rolls Royce Computational
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calculator: https://www.hw.ac.uk/about/work/total-rewards-calculator.htm to see the value of benefits provided by Heriot-Watt University Detailed Description Heriot-Watt University is seeking to recruit
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of applying. To apply, candidates must submit an application for the 'History Research MPhil/PhD (Full-time)' programme via the King's online admissions portal, by clicking the 'Apply' button, above. The
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for candidates with a background in meteorology, climatology, physics, engineering and any related discipline, and a strong interest in applying advanced physical and computational methods to real-world
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entry requirements for our PhD programme . How to apply Please navigate to this page , where you can find more information on how the project sits within the sponsor organisation and in the university
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The Institute for Energy Systems at the School of Engineering of the University of Edinburgh is looking for enthusiastic, self-motivated applicants for an exciting PhD position that will research and develop advanced cryogenic power electronics solutions for key net-zero applications such as...
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Engineering, Computer Science or related disciplines. Experience in autonomous system, manufacturing/robotics and machine vision development will be an advantage. To apply please contact the supervisor, Dr Kun
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Open PhD position: Autonomous Bioactivity Searching Subject area: Drug Discovery, Laboratory Automation, Machine Learning Overview: This 42-month funded PhD studentship will contribute to cutting-edge advancements in automated drug discovery through the integration of high data-density...