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of Bayesian computational statistics as part of the EPSRC funded ‘PINCODE' project (EP/X028712/1), under the clear guidance of Prof. Murray Pollock and Prof Hongsheng Dai. Work closely with other members
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campus in Espoo, Greater Helsinki, Finland. Diversity is part of who we are, and we actively work to ensure our community’s diversity and inclusiveness. This is why we warmly encourage qualified
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that provides timely and effective support to real-life policy processes. The successful candidate will become part of an interdisciplinary team and support the development of data and model assets which are used
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framework to accommodate new components like EV chargers and distributed generation, and you will apply these insights to both large-signal and small-signal stability analyses. Working closely with academic
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and Carer Race Equality Framework (PCREF) sites (London, Birmingham, Manchester, Black Country), drawing on existing quantitative data and new qualitative data. A key part of the role will be building
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Process You will be required to upload a CV and Supporting Statement as part of your online application. The Supporting Statement should include a cover letter and should also clearly describe how you meet
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modelling to infer load behaviour from measurements at the grid supply point (GSP). Your work will help determine whether new load types need to be defined in the CLM framework to accommodate new components
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Process You will be required to upload a CV and Supporting Statement as part of your online application. The Supporting Statement should include a cover letter and should also clearly describe how you meet
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(e.g., Patient and Public Involvement (PPI), Client Involvement, Experts by Experience, etc). Main responsibilities To work as part of the research team to complete a scoping review of the existing
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benefit we can offer is the option for to complete a PhD in the 36-months, if you wish. The opportunity to continue your career at a world-leading institution and be part of our mission to continue science