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Field
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1. Project overview Electrochemical sensing plays a central role in next-generation health technologies, enabling real-time monitoring of physiological environments with high sensitivity and low power consumption. Many emerging biomedical devices, such as non-invasive and indwelling systems,...
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such as, but not limited to, chemical, pharmaceutical, biochemical, or mechanical engineering; pharmaceutical sciences; materials science; or related areas. Applicants from computer science with relevant
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communication, and applied security research. Applicants are expected to hold (or be close to completing) a minimum of an upper second-class undergraduate honours degree (or equivalent) in Computer Science
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HIV remains one of the most persistent and challenging infections to cure due to its ability to lie dormant in reservoirs within the body: T-cells that are infected but no actively replicating virus. This allows the virus to evade standard treatment approaches. Despite years of antiretroviral...
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Honours degree and a Masters, or a Distinction at Masters level with any undergraduate degree (or the international equivalents) in Computer Science, Engineering, or Physics, we would like to hear from you
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good Master’s degree in Mathematics, Statistics, Computer Science, Engineering, Physics, with good programming, analytical problem-solving, writing and presentation skills. Please direct project specific
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to submitting an online application, you will need to contact the project supervisor to discuss. Online applications click the 'Apply' button. Please select Computer Science on the Programme Choice page. You will
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strong upper second-class undergraduate degree in Chemistry, Physics, or a related discipline such as Mathematics or Computer Science, are encouraged to apply. The candidate is expected to have a strong
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coordinator and Sheffield PI for the HE VIGLANT project. https://sheffield.ac.uk/cs/people/academic/carolina-scarton The School of Computer Science at the University of Sheffield is recognised for research
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Institute, with close ties to the Department of Computer Science and Technology. Preferred skills/knowledge We are seeking a passionate and collaborative PhD student with a strong background in machine