409 data-"https:"-"https:"-"https:"-"https:"-"Stanford-University" PhD positions in United Kingdom
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Field
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data analysis pipelines using ImageJ, R, MATLAB and relevant programming languages. Plan, troubleshoot and optimise experiments, maintain meticulous records, and prepare data, manuscripts and grant
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in porous geological formations. The successful candidate will develop and implement computational models, validate them against experimental or field data where available, and contribute to the design
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mechanistic, dietary and clinical analyses embedded within a double‑blind randomised controlled trial of tirzepatide. Project Description You will analyse Intake24 dietary recall data collected during the trial
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’) as the programme of study You will then need to provide the following information in the ‘Further Details’ section: A ‘Personal Statement’ (this is a mandatory field) - upload a document or write a
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epidemiology. We are keen for this PhD project to be student-led and shaped and driven by the successful candidate’s research interests and skills. Techniques to be used: Epidemiology Statistics and data
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level, with sub-metre precision? This PhD will develop next-generation foundation-model-driven urban perception systems that fuse: high-resolution satellite imagery, aerial data, street-level imagery (e.g
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representatives. The post-holder will have access to a range of data resources to inform the model, including blood donor cohorts from the COMPARE, INTERVAL and STRIDES studies. It is anticipated the work will
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group, including PhD and MSc and honours project students. You will also be heavily involved with data analysis and writing up manuscripts. Please see the below 'Job Description' for further details
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movement laboratory, working with biofeedback, working with individuals with chronic pain, and/or prior experience collecting muscle activity data is desirable but not essential. How to apply Interested
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electronics) to process information efficiently. You will work at the intersection of mathematics, physics, electrical engineering and AI, helping to develop a theory that explains how and why these systems