67 data-science-"https:"-"https:"-"https:"-"https:"-"UCL" positions at Cardiff University
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interventions. You will work at the interface of ecology, environmental science and water management, collaborating with academic and industry partners to deliver evidence that informs future reservoir
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research data using qualitative methods, e.g. interviews and/or focus groups, and/or participant observation. It may require travel to collect research data. The role will involve carrying out research
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. You will work closely with multidisciplinary teams to translate study requirements into technical solutions. You will provide specialist guidance on application design, data management, security
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implementation of biosampling protocols, support staff training, and maintain robust systems for participant recruitment, biosampling, and data collection. You will build effective relationships with key
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the organisational work. They will also be responsible for data collection and collaboration with our Senior Data Tutor on our processes. This post is full-time (35 hours per week), is fixed term
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pertinent additional meta-data, and check those data for accuracy and novelty before entering them into HGMD. You should have a degree in a relevant discipline, be IT literate and have some experience in
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representation of the data for a range of end users. The ideal RA candidate will hold a degree in a relevant discipline or equivalent experience (essential) and a postgraduate degree at PhD level (or in later
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developers to translate study requirements into technical solutions. You will provide specialist technical guidance on application design, data management, security, authentication and access control, and
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including appointment booking and data collection for the MHULS and CPTUC. The teams are based in the Centre for Student Life, but clinics may be scheduled in an alternative Cardiff University building
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national level with available and future routine data. The post holder will be primarily supporting this project and leading on qualitative data collection and analysis (documentary analysis of local