195 data-"https:"-"https:"-"https:"-"https:"-"https:" positions at University of Nottingham
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payments, maintenance of trial information in the databases and trial files. Your role will also entail arranging face to face meetings, teleconferences, investigator meetings, conference attendance, and
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progression Shortlisting is anonymous: we cannot see any personal data or the 'Additional Information' section in your application until shortlisting is completed. Shortlisting is by criteria-based questions
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applications sent directly to this email address will not be accepted. Interview date would be in week commencing 23 February 2026. Further information is available in the role profile. To apply for this vacancy
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facilities management Strong interpersonal and communication skills A proactive, solutions-focused approach Financial and data management capabilities A commitment to continuous improvement and inclusive
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focuses on developing cutting-edge statistical/machine learning methods for fitting complex, multi-institutional network models to partially observed hospital infection data. This research will directly
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will not be accepted. Interview date would be in week commencing 09 February 2026. Further information is available in the role profile. To apply for this vacancy please click ‘Apply Now’ to complete
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levels of attention to detail and accuracy and have experience in a data entry or administrative role. You will need to be resilient and comfortable working with high volume requests, as well as being
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-edge adaptive mesh refinement techniques; a lightweight prediction tool developed upon the simulation data to predict key thermofluidic parameters for the design of high heat flux cooling components
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in the field. Shortlisting is anonymous (by criteria-based questions rather than CV or letter): we cannot see any personal data or the ‘Additional Information’ section in your application until
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, enabling a more stable and efficacious drug delivery over conventionally dosed medicine. This work integrates high data-density reaction/bioanalysis techniques, laboratory automation & robotics and machine