619 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" uni jobs at University of Sheffield
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, providing crucial data necessary for: Understanding caisson performance in diverse soil conditions, including layered, heterogeneous soils, and sloping seabeds. Numerical model validation and design
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influence energy development and structural responses under extreme loading conditions. As a vital member of our team, you will be a clear and effective communicator who can translate technical data
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, increased carbon dioxide, rainfall and snow regime change and how these impact the biodiversity of ecosystems, and the capacity of ecosystems to cycle carbon and nutrients (https://sites.google.com/a
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at the University of Sheffield. There will be many opportunities to collaborate with ongoing work in the lab. For more details see http://www.alisonewright.co.uk. Applicants are strongly encouraged to contact Dr
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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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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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. 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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experience. Desirable Interview/ Application Further Information Grade 2 Salary £23,061 to £23,350 pro rata, per annum. With the potential to progress to £23,742 pro rata, per annum, through sustained
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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
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-pathogen interaction using in vitro models and the zebrafish experimental model of infection. Please apply for this project using this link: https://www.sheffield.ac.uk/postgraduate/phd/apply/applying