251 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"NOVA.id" positions at University of Nottingham in United Kingdom
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. What next? Further information is available in the role profile. To apply for this vacancy please click ‘Apply Now’ to complete your details. This is a permanent role and your working hours will be 36.25
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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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generating data, and ensuring the provision of necessary reagents and growth-media to enable smooth running of the projects. The post will also involve record keeping, safety management, data analysis
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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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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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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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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