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, clinical cohort analysis, and patient-reported outcome methods to improve understanding of ME/CFS and related infection-associated chronic conditions and illnesses (IACCIs). Research Project: A research
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, vibration, and elevated temperatures. • Assess productivity, constructability, and carbon footprint of novel structural system. • Finite element analysis of composite structural systems and joints
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Environmental Sciences is currently seeking a Postdoctoral Research Fellow in Quantitative Analysis of Economic Impacts of Ultra-Processed Foods to lead quantitative research on the economic impacts of ultra
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Location: Leeds - Main Campus Working time: 37.5 hours per week Contract type: Fixed term (starting from 1st October 2026 until 31st March 2027 - to complete specific time limited work) Downloads: Candidate Brief (PDF) Are you an aspiring researcher willing to contribute towards digital...
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Analysis of Economic Impacts of Ultra-Processed Foods to lead quantitative research on the economic impacts of ultra-processed foods, managing and analyzing large, complex datasets to generate robust, policy
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focus on collecting, processing, and harmonising appropriate geospatial data, providing geospatial data insights, and applying appropriate AI models for geospatial analysis based on the integrated data
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insights, and applying appropriate AI models for geospatial analysis based on the integrated data. This role is part of the project: Decision-support-tools for Spatial Planning and Cumulative Effects
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performing data analysis to create a robust and reliable testing protocol. Key Responsbilities: Conduct a comprehensive literature review on food rheology, texture analysis, particle analysis, image analysis
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30th September 2026 Languages English English Norsk Nynorsk English PhD Research Fellow in climate data analysis and machine learning emulation of hydrological models Apply for this job See
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). This role will involve designing custom test fixtures, conducting practical laboratory work, and performing data analysis to create a robust and reliable testing protocol. Key Responsbilities: Conduct a