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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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approaches. You will be confident communicating with a range of partners, capable of synthesising complex information, and motivated by research that directly informs policy and practice at a national level
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schemes Cycle and electric car loan schemes Childcare services Discounted bus travel and season ticket travel loans More information is available at Staff Benefits Applications for this vacancy are to be
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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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with people affected by rare neurodegenerative conditions, their carers and professionals providing health and social care. Data analysis and interpretation of results will be performed in collaboration
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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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hybrid discretisation frameworks that apply varying fidelity across the computational domain. This includes creating conservative transmission algorithms that ensure consistent exchange of information
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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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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