170 parallel-computing-numerical-methods positions at Cardiff University in United Kingdom
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. We are looking for a full-time Research Assistant (with knowledge of research methods and techniques within cardiovascular science, including in vitro assays of cell viability, reactive oxygen species
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complex ideas, concepts and data using appropriate methods and packages To resolve issues and support colleagues in devising procedures required to ensure accurate and timely reporting To generate research
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appropriate methods and packages; To resolve issues and support colleagues in devising procedures required to ensure accurate and timely reporting; • To generate research output and contribute
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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
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with the Student Voice department of the Students’ Union to ensure alignment of activities. Student surveys Coordinate the promotion of student surveys via a variety of methods, including leading oral
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methods IUD-fit study funded by Health and Care Research Wales. The postholder will work across all planned work packages which include an online survey, qualitative interviews, and co-production work with
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, integration, testing and documentation of large or complex systems, selecting the most appropriate design standards, methods and tools consistent with agreed enterprise and solution architectures and ensure
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. The successful candidate will work with Dr Stephanie Sivell on the mixed methods, multi-stage COMBaT project (Core Outcomes to Measure clinical needs in primary Brain Tumours) funded by Cancer Research Wales Brain
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, develop, deliver and evaluate an annual programme of online and in-person events to include: seminars, workshops, conferences, ‘lunch and learn’ sessions, networking events, and cross-Research Centre
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Denitza Williams. We welcome candidates from a range of theoretical and applied backgrounds, but we are particularly keen to hear from people with strong backgrounds in mixed methods (i.e., qualitative and