195 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"NOVA.id" positions at University of Nottingham
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
to Friday - hours 8:45 a.m. to 5:00 p.m. Your working hours will be (21.75 hours per week). Further information is available in the role profile. To apply for this vacancy please click ‘Apply Now’ to complete
-
industry and research bodies to drive innovation across all UK manufacturing sectors, from SMEs to large global manufacturers. For details, visit the MTC website . Contact For further information on this PhD
-
responsible for maintaining and managing establishment data within the University’s HR Information System (HRIS), ensuring accuracy, consistency and compliance across all position and structure records. You
-
support population-level prevention strategies. Further information: Applicants should have either a minimum 2.1 undergraduate degree in a relevant area (public health, epidemiology, economics, statistics
-
their data. This will require effective communication with researchers from diverse backgrounds and the ability to translate between biological questions and computational analysis. You will be expected
-
their data. This will require effective communication with researchers from diverse backgrounds and the ability to translate between biological questions and computational analysis. You will be expected
-
sponsors own security checks before starting the PhD. Start date: 5 October 2026 Closing date: 27 February 2026 For further information please email Professor Chris Gerada (University of Nottingham) and
-
your application. The role holder will receive a leadership payment. For further information or informal discussion please contact Sam Kingman, Provost and Deputy Vice-Chancellor, sam.kingman
-
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
-
will be responsible for monitoring all computer systems connected to the university network to identify known vulnerabilities, potential weaknesses, security breaches, unusual activity and unauthorised