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Overview Join a world-leading team developing life-changing treatments for people with MND Working in multidisciplinary Better Outcomes for MND team based at the Sheffield Institute for Neuroscience
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Integration of renewables into energy systems-forecasting model development and analysis School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof Mohamed
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growth, development, and reproduction, with a strong emphasis on fundamental discovery and translational potential for crop improvement. What we offer • Co-supervision and collaboration across our three
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infrastructure inspection tools. Working in well known internationally acoustic group at the University of Sheffield, you will embark on developing an approach of remote acoustic sensing of defects invisible
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-identified scans, records and sensor feeds to answer questions such as: Can we predict a patient’s response to treatment without ever seeing their raw file? Can an algorithm learn the warning signs of trouble
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Details Bacteriophage are potentially the most numerous biological entities on planet earth. Their diversity and ability to reveal novel biology as well as their potential to be developed as novel
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, drive our reputation and help us to meet our strategic goals. You will develop existing writing skills to translate complex academic research into creative and accessible content to secure national and
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, South Yorkshire, United Kingdom of Great Britain and Northern Ireland [map ] Subject Area: Mathematics (all fields) Appl Deadline: (posted 2025/04/23, listed until 2025/08/13) Position Description
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require metrics that predict how well a given hearing aid algorithm will perform for a specific user in a particular acoustic environment. Existing approaches often rely on oversimplified assumptions about
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Development of biofidelic test-beds for assessing human interactions School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof M Carre, Prof R Lewis, Dr J Rongong