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such as R, Stata, Python, or equivalent for data preparation and analysis. You have strong analytical and communication skills, with the ability to contribute to academic outputs such as research papers
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distributed energy resources on grid performance. Your responsibilities will include conducting simulations, analysing data, and supporting the pilot implementation of the project. You will also contribute
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simulation and data-driven analysis, managing research activities, and contributing to both academic and non-academic outputs. You will represent the project in technical discussions and international meetings
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for interviews and workplaces. Whilst all applicants will be judged on merit alone, we particularly welcome applications from groups currently underrepresented within our working community. Further information
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and to view further information about the role, please click 'Apply' above. For informal enquiries please contact Dr Suzanne Paul, Keeper of Rare Books and Early Manuscripts (sp510@cam.ac.uk
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Lent Full Term - Tue 19 Jan – Fri 19 Mar Easter Full Term - Tue 27 Apr – Fri 18 Jun Any offer will be subject to confirmation of eligibility for an academic visa (if necessary). More information can be
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functionality and food processing. Proficiency in using laboratory equipment and software for data analysis. Ability to work independently and collaboratively in a research environment. Strong communication
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, however all appointments are made strictly on individual merit. As a Disability Confident employer we welcome applications from those who identify as having a disability. Further information If you would
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collaboration abilities. Desirable experience & skills Experience in mental health or public sector innovation. Familiarity with research ethics and data governance in health settings. For further details
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each year. Please check role profile for further information. For informal inquiries, please contact David Bates - david.bates@nottingham.ac.uk . Please note that applications sent directly to this e