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’ or ‘internationally excellent’. The highly research active SP Section comprises 13 permanent academic staff with research interests in Bayesian computational statistics and machine learning, uncertainty quantification
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full workload, additionally they will also require problem solving skills and a good understanding of health and safety. Applicants must have the ability to lift and move objects as this role will
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same/similar role. Previous experience in a laboratory environment would be desirable but not essential. Please note that candidates must be able to lift and move objects as this role will involve
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objectives are met. Additionally, you will collaborate closely with senior colleagues to assist in the development and improvement of laboratory techniques and processes, applying your technical knowledge and
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note that this role requires the ability to lift and move objects, as it involves storing and moving consumables and equipment. Candidates must hold a Higher National Certificate, Physiology, Biomedical
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defined learning objectives of the relevant modules. They will also have responsibility for setting and marking assessments in line with existing module specifications. The successful candidate will also
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optimisation and capability development, equipment maintenance and troubleshooting, data acquisition and analysis, setting and achieving EHS&Q objectives and targets, and driving continuous improvements
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teams, ensuring alignment with strategic objectives, technical excellence, and on-time delivery. You will oversee the budget management, stakeholder engagement and communication and branding
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Leads, Programme Leads and key researchers to identify and manage opportunities and risks to ensure successful delivery of theme research objectives. Some driving / travelling to other sites is necessary
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techniques to staff and students to ensure objectives are met. The laboratory specialises in malaria cell biology research, and candidates must have skills in standard laboratory and microbiological techniques