355 data-"https:" "https:" "https:" "https:" "https:" "https:" "SciLifeLab" "IFM" "IFM" positions at University of Nottingham
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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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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 available on a fixed term basis until 31/08
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deadlines This is a part-time (29.00 hours), permanent position. For further information, please see the role profile attached and should you have any questions regarding the role, please contact Kershnee
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MEng degree in Electrical and Electronics Engineering or Aerospace Engineering. To apply or for further information, please contact Dr Sharmila Sumsurooah Sharmila.Sumsurooah@nottingham.ac.uk Funding
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understanding and process optimisation. The work will primarily feature the integration of high data-density reaction techniques, laboratory automation & robotics and kinetic/machine learning modelling
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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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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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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 your details
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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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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