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will therefore be expected to be familiar with manipulating climate model output (e.g., netCDF data). About you The post holder will hold, or be close to completion of a relevant PhD/DPhil, together
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. Good report writing and presentation skills Good analytical skills and computer skills. An ability to work independently to a tight schedule. Experience of bacterial growth and optimizing growth media
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criteria: 1. A PhD in Engineering or similar discipline 2. Strong engineering and analytical skills 3. Computer modelling skills (i.e. MATLAB or Python) 4. A comprehensive
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. The analytical data is currently preliminary and incomplete. You will work with the unpublished dataset, identify data gaps and to carry out new analytical work needed to fully understand this magmatic system and
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of Immunity – Artificial Intelligence (CoI-AI) Programme, a pioneering initiative that integrates controlled human infection models, advanced immunology, and AI-driven analytics to accelerate vaccine discovery
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candidate will conduct hands-on empirical research that embraces both experiments and modelling and be responsible for three stands of research (i) using industrial data (and working with industry) to model
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sustainability and climate curriculums and educational resources. Candidate Profile • A PhD in environmental engineering, computer science, data science or similar • Highly motivated, detail orientated and
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academic environment. About the role: The post is offered as a full-time, fixed-term contract for an initial period of one year. The successful candidate will develop and implement novel analytical pipelines
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, organising and analysing data, supporting thematic and narrative analysis of legal judgments and statutory reports, contributing to the development of an interdisciplinary analytical framework, and assisting
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Are you passionate about using geospatial data and place-based analytics to address mental health inequalities in rural and coastal communities? The University of Lincoln is seeking an ambitious