516 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "The Institute for Data" positions at University of Sheffield
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an automatic bar to employment at the University of Sheffield. We recognise the value of steady employment in the rehabilitation process and examine each case in its own right. More information can be found
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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
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to submitting your application. How to apply: Please see this link for information on how to apply: https://www.sheffield.ac.uk/cbe/postgraduate/phd/how-apply. Please include the name of your proposed supervisor
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website https://www.amrc.co.uk/ For informal enquiries about this job contact Andrew Crane, Project Delivery Manager on a.crane@amrc.co.uk Next steps in the recruitment process It is anticipated
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of HIF on these. - Establish new methods/models to assess DNA damage and their consequences, in larvae or adults Please apply for this project using this link: https://www.sheffield.ac.uk/postgraduate/phd
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events. Funding Notes This project is for Self-funded students or students with external funding. References https://sgielen.wordpress.com/ View DetailsEmail EnquiryApply Online
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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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Feedback control of tokamak plasmas via deep learning policies with robustness guarantees (S3.5-ELE-Drummond) School of Electrical and Electronic Engineering PhD Research Project Competition Funded
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student will join the Electrical Machines and Drives Research Group within Sheffield Engineering Faculty. Specifically, the PhD student will join the Control and Power Systems (CAPS) Laboratory, led by Prof