375 parallel-computing-numerical-methods-"Simons-Foundation" positions at University of Sheffield
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-destructive and in-situ method to measure soil moisture, density, and elemental composition. This project aims to develop advanced sensors for neutron and gamma ray sensing, tailored for agricultural
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programme of staff meetings throughout the year and provide administrative support and minute-taking. Provide administrative support for the SRDS process for clinical teachers arranging meetings, chasing
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year round Details The most effective treatment for negative body image is mirror exposure, reducing avoidance and providing accurate feedback on appearance. This method is effective in working with
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, including integrins and proteoglycans. We have previously demonstrated that blockade of the tetraspanin CD9, using a variety of methods, reduces adherence of multiple bacteria to human epithelial cells by >50
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advanced manufacturing methods to design graded materials with different properties in chemistry, biology, and biomechanics. Recent studies have highlighted the pivotal role of substrate stiffness in
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of HIF on these. - Establish new methods/models to assess DNA damage and their consequences, in larvae or adults Please apply for this project using this link: https://www.sheffield.ac.uk/postgraduate/phd
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the Student Recruitment Manager and Officers to deliver the UK recruitment strategy using face to face and digital recruitment methods. Build and maintain relationships with key stakeholders Plan and deliver
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Design of a Fault Detection System for AI-Assisted Adversarial Attacks on Industrial Control Systems
Design of a Fault Detection System for AI-Assisted Adversarial Attacks on Industrial Control Systems School of Computer Science PhD Research Project Directly Funded Students Worldwide Dr Aryan
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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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Improving Deep Reinforcement Learning through Interactive Human Feedback