655 data-"https:" "https:" "https:" "https:" "https:" "https:" "U.S" positions at University of Sheffield
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at the interface of materials/device engineering and clinical research. It suits a candidate who enjoys building real hardware and analysing data, and who is motivated by translational work with patient contact
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, and offer a range of family friendly, inclusive employment policies. For further information on the WIRe scheme visit: https://cdtwire.com/ The project will be supervised by Dr Andy Nichols, Professor
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. reports, data summaries, manuscripts and grant applications. Carry out administrative roles as required. Read academic papers, journals and textbooks and attend research seminars to keep abreast
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circuits and integration techniques. By applying to this role you are agreeing to collaborators from the University of Manchester accessing and reviewing your application data. Main duties and
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/ proteomic approach. Please apply for this project using this link: https://www.sheffield.ac.uk/postgraduate/phd/apply/applying References www.sheffield.ac.uk/photosynthesis View DetailsEmail EnquiryApply
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applicants only References "Lab website https://cellplasticity.weebly.com/ Recent work from the lab Plygawko, A.T., Adams, J., Richards, Z. and Campbell, K. (2025) A hormonally regulated gating mechanism
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working relationships. Desirable Application/interview Ability to contribute to research proposal development. Desirable Application/interview Further Information Grade 7 Salary £38,784 - £47,389 per annum
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circuits and integration techniques. By applying to this role you are agreeing to collaborators from the University of Manchester accessing and reviewing your application data. Main duties and
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Powerpoint and the ability to learn new IT systems, software and hardware. Application / Interview Further Information Grade: 4 Salary: £25,249 - £26,707 per annum. Work arrangement:35 Hours per week Duration
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Robust machine learning using information theoretic approaches for damage detection in complex machines (C3.5-ELE-Esnaola) School of Electrical and Electronic Engineering PhD Research Project