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partners at NHS England and Nuffield Health. About You You will have a PHD (or close to completion) or experience at a comparable level in a relevant subject area. You will have experience of working with
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monitoring and reporting, support stakeholder engagement, and contribute to communications that showcase UK expertise. Candidates should hold a PhD (or be close to completion) in a relevant discipline such as
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machine learning under real life constraints of clinical integration/validation and healthcare regulatory translation/commercialisation. The position is part of the project `Integrated autofluorescence
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disclosure. Further info: https://bit.ly/3DP5K8y Working at Durham University A globally outstanding centre of teaching and research excellence, a warm and friendly place to work, a unique and historic setting
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Postdoctoral Researcher in Machine Learning of Isomerization in Porous Molecular Framework Materials
single “representative” MFM structure, ignoring positional disorder which makes the calculation feasible but at the cost of ignoring the local structure. This is problematic, as the local structure has
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The Department of Political Science is seeking applications for a full-time Postdoctoral Research Associate. The position is part of the BreaktheBias Project, funded by UKRI and led by Professor
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A position exists for a Postdoctoral Research Associate in the Department of Applied Mathematics and Theoretical Physics modelling the decontamination of porous and absorbent material. This project
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. Ready to be part of our team? Let’s shape the future together! Your personal sphere of play: A PostDoc position is available in the group of Verena Pichler at the University of Vienna, Department
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on the development and piloting of Ecological Momentary Assessment (EMA) items tailored for young people, to better understand the cognitive, emotional, and behavioural mechanisms that place them
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attached to the project. The successful applicant must hold a PhD/DPhil in a relevant subject. They must have peer-reviewed publications using data science approaches, for example, genetic analysis