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Low-Cost Sustainable Materials to Mitigate the Impact of Taste and Odour Compounds from Algal Blooms
compounds from water. This will involve setting up methods for the analysis of selected taste and odour compounds; characterising the properties of selected low-cost adsorbents (e.g. seaweed, sawdust and
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emotional language and significant individual variability. Methods to be used: Standardised tests will be used for the assessment of emotion word comprehension and production, and emotional wellbeing. Data
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distress (i.e. depression and anxiety) and mental wellbeing. Methods to be used: User-friendly LLM software will be used to map out the semantic similarity of common measures, and novel psychometrics (e.g
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explain prosocial, or conversely, polarizing and prejudicial behaviors. Methods to be used: Quantitative and experimental methods. Skills required of applicant: An undergraduate degree in psychology
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environments. Methods to be used: The study will use a 3-way Between-Subjects experimental design with moderation analysis. Experimental stimuli will be pre-existing video content sourced from YouTube
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disposal, energy savings and procurement (Carrillo-Barragan 2024) but much less time has been spent investigating our actual approach to research, our methods and procedures and how addressing these might
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needs of adult sibling caregivers of children with chronic, life-limiting conditions or life threatening illnesses Methods to be used: Participants will be recruited through existing relationships with a
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system or standalone HP) The project will be supported by researchers and technical staff at CST. To support the project, software such as TRNSYS, MATLAB and Ansys will be used for numerical analysis and
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seeking to support older adults to increase their activity levels, strength, balance and overall health and wellbeing. Methods: This PhD will conduct a mixed-methods programme of research to identify how
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Apply and key information This project is funded by: Department for the Economy (DfE) Summary Many modern technologies — from medical brain-computer interfaces (BCIs) to automated factories — use