250 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"CESBIO" positions at University of Nottingham in United Kingdom
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global manufacturers. For details, visit the MTC website . For further information on this PhD position please contact Dr Sara Wang (Sara.Wang@nottingham.ac.uk ) Closing Date: 27th February 2026. Proposed
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rewards, including 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 Further information is
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. Further information is available in the role profile. To apply for this vacancy please click ‘Apply Now’ to complete your details. This is a full time, fixed term position available for 12 months. Informal
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expenses claims. Administer systems for the storage of relevant data, ensuring adherence to the relevant legal standards for data use and storage. We are looking for professional, approachable, customer
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workload planning, contract renewal and coordination, maintaining outputs through provision of admin support in specific areas such as Committees and meetings, maintain accurate data records, draft document
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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