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to support student projects on the use of research methods and equipment. To contribute to fostering a collegial and respectful working environment which is inclusive and welcoming and where everyone is
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. This work utilizes advanced epidemiological modelling combined with AI methods for adaptive rather than static surveillance design. This project is particularly exciting because it combines new advances in
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validation/testing of novel mixed conducting materials. The project has a strong emphasis on software development; the candidate will develop and maintain workflows and datasets related to the project
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lifecycle and leading it successfully to completion. The project uses Delphi methods, making experience with the Delphi approach, alongside qualitative and quantitative research expertise, highly desirable
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apply online for this vacancy and to view further information about the role, please click the 'Apply' button above. Applicants must have (or be close to obtaining) a PhD. Appointment at Research
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this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD level qualified in synthetic chemistry, nanomaterials, radiochemistry (or relevant chemistry field
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be close to finishing a PhD in bioinformatics, artificial intelligence, biophysics, or computational biology. The ideal candidate will have demonstrated experience in developing and applying
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IMS Epidemiology is seeking to appoint a Postdoctoral Research Associate or Assistant Research Professor with skills and experience in quantitative research methods and evidence synthesis to advance
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new studies, proposals and routes to impact, and collaborate closely with PhD students, postdocs, industrial partners and international collaborators to advance OPV towards terawatt‑scale deployment
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hosts one of the largest concentrations of quantum research globally. They will be expected to guide more junior colleagues, including postdocs, research assistants, PhD and project students. The research