723 computer-science-intern "https:" "https:" "https:" "https:" "U.S" positions at University of Sheffield
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the Booster Neutrino Beamline at Fermilab, USA. Each detector in the SBN programme utilises the liquid argon time projection chamber (LArTPC) technology. The main goal of the SBN programme is to address a
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How does a molecule walk? Computer simulations of molecular machines in action School of Mathematical and Physical Sciences PhD Research Project Directly Funded UK Students Prof Sarah Harris, Dr
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, computer science or signal processing. Funding Notes This is a self-funded research project. Full details of how to apply can be found at the following link: https://www.sheffield.ac.uk/acse/research-degrees
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see the University page on English Language requirements for Postgraduate courses: https://sheffield.ac.uk/postgraduate/english-language Proposed start date: 01 October 2026 How to apply: Please
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) • Cell culture and infection assays • Molecular biology techniques (e.g., PCR, qPCR, ELISA) You will receive interdisciplinary training that will prepare you for a range of career paths, within and
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pathways interact to control germination. This project will provide training in bacterial physiology, infection biology, quantitative microscopy and computational data analysis — a diverse skill set that
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a combination of organic chemistry synthesis, biochemical synthesis, and analytical methods such as mass spectrometry and NMR to identify reaction products. Please apply for this project using
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work on one or a number of these aspects. Students with good degrees on robotics, electrical engineering, computer science, mathematics, cognitive science or subjects where signal processing and
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Muon Tomographic Reconstruction of Intense Magnetic Fields School of Mathematical and Physical Sciences PhD Research Project Self Funded Dr Patrick Stowell, Dr Rhiannon Jones Application Deadline
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) or MSc (Merit or Distinction) in a relevant science or engineering subject from a reputable institution. Full details of how to apply can be found at the following link: https://www.sheffield.ac.uk/acse