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leadership contribution to the running of the BMBS programme providing academic oversight of the Advanced Clinical Practice component of the curriculum. This is a 0.2 FTE role which can be undertaken flexibly
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your skills and gain industry recognised qualifications. Personal and Career Development support, and opportunities for career progression. Employee Assistance Programme and Counselling Service- 24/7
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. Employee Assistance Programme and Counselling Service- 24/7 support. Supplier discounts, travel, and reward schemes. Staff Networks, and wellbeing activities and state of the art sports facilities. Uniform
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industry recognised qualifications. Personal and Career Development support, and opportunities for career progression. Employee Assistance Programme and Counselling Service- 24/7 support. Supplier discounts
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manager and the manager of your substantive post, if you are already undertaking a secondment role. Generous funding is available for travel, computing equipment, and personal development. If successful
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acceptable but will need to be demonstrated through certified evidence of substantial training and experience that has qualified candidates to plan, direct and perform an independent research programme with
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, direct and perform an independent research programme with substantial deliverables. Ideal candidates will also have expertise in sustainable cities and communities, human-environment interface and the
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INTERNAL VACANCY This vacancy is open to employees of the University of Nottingham only. We are seeking to appoint a Digital Learning Officer (Maternity Cover) to join the Health E-learning and Media (HELM) team in the School of Health Sciences , University of Nottingham. The HELM team...
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We seek to appoint a Postdoctoral Research Associate/Fellow to work in a vibrant and multidisciplinary project funded by the EPSRC Working with Centres Programme under the supervision of Dr Anabel
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Open PhD position: Autonomous Bioactivity Searching Subject area: Drug Discovery, Laboratory Automation, Machine Learning Overview: This 42-month funded PhD studentship will contribute to cutting-edge advancements in automated drug discovery through the integration of high data-density...