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: Essential criteria PhD qualified in Statistical Physics or related area, or PhD near completion Experience in path integral formalisms High level analytical skills Evidence of outstanding promise and
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disciplines and provide a working environment where researchers can develop their careers and passion for their chosen subject area. As a Postdoctoral Research Associate in Ice-sheet Modelling and Data
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previously been subject to various analyses. 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 You will work with the unpublished dataset, identify data gaps and to carry out new analytical work
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Development for more information. About you To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria 1. A PhD (or be close to completion
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. The post holder will have the opportunity to be involved in cutting-edge bespoke neuroimaging technology [3T/7TfMRI-EEG fusion] and advanced data analytics to uncover and predict patterns in large multimodal
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are looking for a researcher with a PhD (or near completion) in engineering, data science, computational social science or a related discipline, with experience in data analytics, NLP or machine learning. You
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successful in this position, you will ideally bring the following: For the Networking and AI position: Completed a PhD in Computer Science, Electrical & Computer Engineering, or a closely related field Expert
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Care System analytics teams, local authorities, and community partners. The role also involves contributing to data pipelines, visualisation tools, and reproducible analytical workflows, and producing
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: Essential criteria 1. PhD qualified in Statistical Physics or related area, or PhD near completion 2. Experience in path integral formalisms 3. High level analytical skills 4. Evidence of
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experts in iron metabolism and absorption in the context of drug discovery. Applicants should have a PhD in Chemistry, with a strong background in synthetic methodologies and analytical techniques