718 high-performance-computing-postdoc positions at University of Sheffield in United Kingdom
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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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are exposed to high temperatures, particle abrasion and higher levels of oxidation. However, the move away from hot piston engines also opens the possibility of utilising water-based lubricants. It provides
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-criteria decision analysis. Your models will link physical processes (rainfall, catchment runoff, drainage performance) with the financial and societal consequences of failures. The result will be a decision
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from intracranial haemorrhage (ICH) — a life-threatening condition often caused by trauma. The project forms part of a Royal Academy of Engineering Research Fellowship programme led by Dr Xiancheng Yu
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simulation will be performed using data collected by the ATLAS experiment. The PhD will facilitate experience and knowledge opening up career routes into traditional academic roles in high energy physics
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the Research Programme Manager, academic and University-wide administrative colleagues as part of a team. You will be responsible for providing a high-quality administrative support service to all aspects
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PhD student to develop high-performance avalanche photodiodes for detecting weak infrared optical signals. The PhD student will gain a range of valuable skills for semiconductor research (e.g. wafer
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projects across collaborating partners. Work closely with the PI(s) to review and monitor progress of projects, including key performance indicators, and support rapid decision making on programme priorities
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Overview Applications are invited for a postdoctoral research associate (PDRA) to join a collaborative research programme investigating the role of synaptic dysfunction and impaired
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patterned nanostructures form on butterfly wings during development. The post will contribute to the research excellence of the University through supporting the generation of high-profile research outputs