251 evolution-"https:"-"https:"-"https:"-"https:"-"UCL"-"UCL" positions at University of Nottingham
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be part of the wider teaching team, working with our students in small and large group settings, supporting their academic, personal and professional development. This is a fantastic opportunity to
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the team: You will be part of the wider teaching team, working with our students in small and large group settings, supporting their academic, personal and professional development. This is a fantastic
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. Role holders will work closely with Unit of Assessment (UoA) leads and impact case study authors, supporting the identification, development and preparation of REF impact case studies and statements, as
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, numerical modelling, data analysis, and interpretation of results. Alongside this, around 30% of the role will involve contributing to publications and actively supporting the development of future research
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development of the School of Medicine’s Clinical assessment Examiners, supporting practical assessments across multiple years of the medical programme. It demands in-depth knowledge of examiner processes
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university closure days including closure between Christmas and New Year. Our reward scheme grants bonuses of numerous values for excellent work We are committed to staff development through the provision
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bonuses of numerous values for excellent work We are committed to staff development through the provision of training, continued support, and career progression opportunities You will have access to a range
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chemistry, flavour analysis, rheology, sensory science, and data-driven modelling, alongside structured development in responsible AI use, industry-relevant decision making, and translational research
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development through the provision of training, continued support, and career progression opportunities You will have access to a range of benefits and rewards, including fitness and health facilities, staff
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to the development of future manufacturing systems that are robust, reconfigurable, and fit for long-term operation. Motivation Modern manufacturing systems are required to operate under increasing uncertainty