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candidate will undertake research duties to support the work programme of the Impact Delivery project ‘Tool for quantifying the long-term thermal imbalance of ground-source heat pumps’, including creating
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. Willingness to learn complex statistical analyses of fMRI data (this might include analysis methods such as multivariate data analysis, machine learning or computational modelling) Desirable CriteriaExperience
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research programme led by Dr Dean D’Souza, funded by a UKRI Future Leaders Fellowship. This project aims to transform our understanding of how young infants adapt to the diverse environments in which
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of the renewables sector. The candidate should hold a degree in a built environment-related subject, data science, computer science or equivalent experience. They should have knowledge of research methods and
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Knowledge, Skills and ExperienceKnowledge of research methods and techniques within remote sensing and/or chemical transport modeling including experience working in high performance computing environments
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funding bids as required • To analyse and communicate complex ideas, concepts and data using appropriate methods and packages • To resolve issues and support colleagues in devising procedures required
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equivalent experience in a relevant subject area, such as healthcare, nursing, housing, or architecture. They will have a background in mixed-methodology research methods and techniques, with an interest in
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presentations as required • To contribute and support research funding bids as required • To analyse and communicate complex ideas, concepts and data using appropriate methods and packages To resolve issues
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qualitative research methods. You will need proven analytical skills, excellent communication, and the ability to work effectively within a team. Expertise in areas such as food policy, sustainable food systems
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-scale data using complex statistical methods (i.e. structural equation modelling and/or multivariate analysis). The successful applicant will enjoy data analysis and working with complex data and will