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-for-postgraduate-training-and-development/eligibility-for-studentship-funding/ Research in the Fuchter group using chemical synthesis and physical science innovation to invent new methods, molecules, and materials
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Targeted Memory Reactivation during sleep, with the goal of reducing symptoms of PTSD and depression. Undertake research by planning, preparing, setting up and conducting research via a range of methods such
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the academic and non-academic sector. The recruited DC will be enrolled in our PhD programme. In addition to the individual doctoral project, the DCs will benefit from a dedicated training programme comprising
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multisource blending methods will then be applied (e.g. kriging, probabilistic merging, machine learning) to combine datasets and preserve extremes. Uncertainty will be quantified explicitly, with outputs
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findings for publication. Your role will include: Gathering and working with research data using relevant methods and software (e.g., SPSS, RStudio, NVivo). Reviewing and summarising academic literature
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role will include: Gathering and working with research data using relevant methods and software (e.g., SPSS, RStudio, NVivo). Reviewing and summarising academic literature. Helping to draft research
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by UKRI About you You should hold a postgraduate qualification (MA/MSc) in the social sciences, with experience in qualitative research methods and a strong interest in environmental sustainability
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contribute to advancing simulation-based testing methods for ADS. You will contribute to cutting-edge research projects, including the EPSRC-funded SimpliFaiS: Simplification of Failure Scenarios for Machine
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methods and a strong interest in environmental sustainability within an interdisciplinary context. You will be working in an interdisciplinary team with researchers from the University of Surrey and
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support research publications and presentations as required To contribute and support research funding bids as required To analyse and communicate complex ideas, concepts and data using appropriate methods