19 parallel-computing-numerical-methods-"Multiple" research jobs at Cardiff University
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on cooling. The successful 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
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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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. 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 techniques within data
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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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care received by patients within their own homes. STALLED – mixed-methods study exploring what works to reduce ambulance handover delays and the impact of delays on patient safety, experiences and care
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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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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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. • Explore innovative methods for representing measured data suitable for a range of end users, including educational users, policy makers, homeowners and the wider public. • Actively participate within
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feasibility studies for proactive maintenance, minimal intervention material changes, and active low-carbon systems • Explore innovative methods for representing proposals and predicted performance suitable
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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