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analysis by biologist colleagues without formal computational training. ● Follow relevant scientific literature to ensure use of optimal methods and understand emerging practices across the field
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students involved in the project. About you We are looking for someone with: A PhD, or a PhD nearing completion at the time of appointment, or equivalent research experience, in cognitive neuroscience
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manufacturing, healthcare, energy, food, and other important sectors. This position is responsible for aiding the development of new synthetic methods in the lab of Asst Prof Phillip Grant, which aim to improve
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quantitative skills and formal training in economic evaluation and related methods. The post is full-time 35 hours per week, 1.0 FTE and fixed term until 31st March 2028. The post is funded by the National
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statisticians, clinicians and mixed-methods researchers across the UK Kidney Association (UKKA) and University of Bristol. They will support the delivery of the LifeArc-Kidney Research UK Centre for Rare Kidney
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systems that affect their lives and maintain agency over the data generated. About the role We are recruiting a Research Fellow in participatory methods to work within the Centre for Data Futures (CDF
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conditions. The successful candidate will have (or soon have) a PhD degree (or soon to have), or equivalent qualifications or experience relevant to atmospheric chemistry. Experience in laboratory atmospheric
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of research and participant recruitment strategies Publish results of own research Supervise PhD students and research associates Capturing data from participants and their families Contribute to the Department
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research exploring contemporary urban design practice, education models, professional standards and regional development. Using a range of qualitative and analytical methods, you will collect, analyse and
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designing and building visualization dashboards. Research experience in human-centered AI, or in the integration of AI and machine learning methods into interactive visualization and analysis systems. Strong