538 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "U.S" uni jobs at University of Sheffield
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Hours of work per week: Full-time Our website: https://www.sheffield.ac.uk/hpdh For informal enquiries about this job contact Chris Bennett, Professor in Philosophy: on c.bennett@sheffield.ac.uk Next
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Direct reports Support Technician Our website https://sheffield.ac.uk/mac For informal enquiries about this job contact Phillip Pickstock, School Technical Manager: on p.pickstock@sheffield.ac.uk Next
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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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methods and the potential to develop pioneering reconstruction and calibration techniques involving machine learning. The PhD will prepare equally well for a career in industry and academia. The candidate
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: open ended Line manager: Technical Manager (CHM Teach) Direct reports: N/A Our website: https://www.sheffield.ac.uk/mps For informal enquiries about this job contact Kirsty Wallace, Staffing and
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with an appreciation of longer-term implications. Essential Application/interview Willingness to update and acquire new skills and knowledge in line with advances in the relevant subject area, including
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, learn standard techniques, and to solve specific integration requirements and connectivity problems. Assist the engineering/research team to acquire and interpret engineering data/results and help
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, and a competitive living stipend. First class or upper second 2(i) in a relevant subject. To formally apply for a PhD, you must complete the University's application form using the following link: https
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motivate, develop and encourage a commitment to learn and secure high performance in other team members. Be aware of the risks in the work environment and their potential impact on their own work and that