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excellent analytical and programming skills (for example in Stata, R or Python), experience working with data, and an enthusiasm for interdisciplinary research that bridges data science, healthcare, and
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Requirements and further details: This 4 year fully funded studentship is open to applicants with a first-class or upper second-class degree (or equivalent) in Electrical Engineering, Physics, Data Analytics
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3 Year, full-time PhD studentship Eligibility: Open to home, EU and international students University fees and bench fees: This studentship will cover university fees at the home rate. However
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Project summary: This PhD develops and evaluates a GPT-based AI co-facilitator for Group Model Building (GMB) workshops, supporting stakeholders in constructing Causal Loop Diagrams of complex socio
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their own analytical perspective and empirical research strategies, provided these remain within the scope of the planned project. Over the course of the PhD, the candidate will gain skills in collaborative
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advanced analytics to benefit every patient interaction, clinical trial, and biomedical discovery and to enhance public health. This PhD is funded as part of the HDR UK Inflammation and Immunity Driver
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: This 4 year fully funded studentship is open to applicants with a first-class or upper second-class degree (or equivalent) in Electrical Engineering, Machine Learning, Physics, Data Analytics or other
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data such as online customer reviews. This work will produce a generalisable, open-source tool for computing variable-threshold accessibility indices. Examine the relationships between N and health and
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Area’ field blank Select ‘PhD Energy Materials' 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
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. Proficiency in programming languages like Python and MATLAB is essential. Practical experience in data science, predictive analytics, finite-element modelling, structural analysis, and/or offshore structures is