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Funding providers: Health Data Research (HDR) UK Subject areas: Population Data Science Project start date: 1 October 2024 (Enrolment open from mid-September) Project description: Healthcare
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datasets in two melanoma cohorts to define and characterise the profiles of chronic inflammation to develop AI models integrating molecular and clinical data to devise chronic inflammation signatures
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We are seeking for a Research Assistant/Associate in Data Science to join the Centre for Industrial Sustainability within the Department of Engineering, to work on the SEEBEYOND project which aims
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data engineering bodies is to provide explainable AI (XAI). This project will focus GEO-located multimodal data and XAI for downstream tasks in the maritime domain. The proposed innovation will impact
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areas: Complex Systems, City Science, Computational Social Science, Network Science, Data Science, Physics Project start date: October 2024 Supervisors (*lead): Aligned programme of study: PhD in Network
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: Complex Systems, City Science, Computational Social Science, Network Science, Data Science, Physics Project start date: 1 October 2024 Supervisors (*lead): Aligned programme of study: PhD in Network Science
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to achieve, at least a 2:1 Honours degree in or international equivalent in a subject relevant to the proposed PhD project e.g. Design, Interaction Design, Human-Computer Interaction or Computer Science
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their predictive power, but recent advances in computational physics and data science have led to new algorithms based on ballistic-style ‘superdiffusive’ dynamics, accelerating simulations of both superconducting
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computer vision and machine learning skills to apply their knowledge and experience to food process engineering, and the assessment of quality of baked products. Working with Rakusen's Limited, the project
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uses an information engineering approach to unravel the dynamic neural mechanisms orchestrating the maintenance of body homeostasis and endogenous pain regulation. Endogenous pain regulation refers