114 engineering-computation-"https:" "https:" "https:" "https:" "https:" positions at University of Sheffield
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-supervised by experts from Computer Science, Mechanical Engineering, and Sheffield Teaching Hospitals, ensuring a strong link between clinical application and technical innovation. CDT programme This
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supervised by: Dr. Erin Cutts (https://cuttslab.uk) specialist in DNA/protein biophysics Prof. Mark Leake (https://www.york.ac.uk/physics-engineering-technology/people/leake/#research-content), expert in
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Overview We are seeking to appoint a professional and organised individual to contribute to the delivery and development of the MSc in Creative and Cultural Industries programme through high-quality
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nuclear engineering, physics, or a related quantitative discipline, combined with a genuine interest in policy, security studies, and international governance. Essential skills include solid computational
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fully with the 3-month training programme within the Fusion Engineering CDT at the start of the course, which will involve some overnight stays at other universities. CDT training will be delivered across
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one of the biggest challenges in modern oncology. This PhD project will pioneer an innovative approach that combines immunotherapy with Cold Atmospheric Plasma (CAP) - a cutting-edge technology that
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the application statement when you apply. Criteria Essential or desirable Stage(s) assessed at Degree in Engineering, Computer Science, Physics, or equivalent experience in a technical data/control systems role
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of Lincoln, but should expect to engage fully with the 3-month full-time training programme in the Fusion Engineering CDT at the start of the course (October to December inclusive). CDT training will be
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programme that has interdisciplinary collaboration at its core. The aim is to enable you to develop a range of research skills in biological, biotechnology and biochemical areas as well as equip you with core
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lab (https://thejohnstonlab.sites.sheffield.ac.uk/) will provide training human infectious disease in a variety of in vivo models and novel imaging approaches to understand fungal infection biology and