295 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" positions at University of Sheffield in United Kingdom
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postgraduate research funding webpages for further information: https://www.sheffield.ac.uk/postgraduate/phd/scholarships Loans are available to eligible home fee-paying doctoral students studying postgraduate
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the frontier of that question. In your research, you will work with cutting-edge observational data from the world’s most powerful telescopes, including the Daniel K. Inouye Solar Telescope (DKIST) and Solar
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link for information on how to apply: https://www.sheffield.ac.uk/cbe/postgraduate/phd/how-apply. Please include the name of your proposed supervisor and the title of the PhD project within your
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. it will be possible to make Scholarship applications from the Autumn with a strict deadline in late January 2020. Specific information is avaialable at: http://www.sheffield.ac.uk/acse/research-degrees
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participants within antenatal and maternity settings and provide clear, sensitive information about the study to potential participants. They will obtain informed consent in accordance with Good Clinical
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, multiscale, high-fidelity simulations that emulate in real-time the state of a corresponding physical twin based on historical and real-time sensor data. The comparison of physical and virtual data throughout
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measurements. Desirable Interview / Application Experience of CFD of reacting flow. Desirable Interview / Application Further Information Grade 7 Salary £38,784 - £47,389 Work arrangement Full-time Duration 01
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see this link for further information: https://www.sheffield.ac.uk/postgraduate/phd/apply/english-language. Please see this link for information on how to apply: https://www.sheffield.ac.uk/cbe
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their relevance to ALS disease mechanisms. For more information about the project, or to discuss a potential application, please contact Dr Chun Guo (https://www.sheffield.ac.uk/biosciences/people
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of agricultural weeds to herbicdes from an eco-evolutionary perspective. This project will develop models for the evolution of herbicide resistance that combines field data and computer models. The aim is to