222 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"P" positions at University of Nottingham
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to our benefits website Further information is available in the role profile. To apply for this vacancy please click ‘Apply Now’ to complete your details. This role is permanent. Your working hours will be
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to the interests of one of the School’s research groups: Cyber-physical Health and Assistive Robotics Technologies Computational Optimisation and Learning Lab Computer Vision Lab Cyber Security Functional
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records to monitor research activity across the lifecycle, analysing the data and preparing reports to facilitate business decisions. Line manage members of the Faculty Research Operations team Our success
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more about what we can offer you, follow the link to our benefits website What next - Further information is available in the role profile. To apply for this vacancy please click ‘Apply Now’ to complete
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fitness and health facilities, staff discounts, travel schemes and many more. To find out more about what we can offer you, follow the link to our benefits website What next Further information is available
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are tracked and ensure compliance information is available and up to date. You will also provide technical advice to stakeholders and will be the single point of contact for the Bio-support Unit ensuring
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website What Next Further information is available in the role profile. To apply for this vacancy please click ‘Apply Now’ to complete your details. Your working hours will be 37 hours per week. Due
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offer you, follow the link to our benefits website Further information is available in the role profile. To apply for this vacancy please click ‘Apply Now’ to complete your details and upload a copy of
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guidance to the relevant stakeholders, calculating budgets and data entry using the Research Management System. Support the RKE team as required in all aspects of research output including organising events
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theory, robust and optimal control, and physics-informed modelling, this research aims to bridge the gap between data-driven learning and dependable real-world autonomy. Aim You will have the opportunity