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. This includes recruiting participants, conducting assessments, analysing data, as well as helping with organisational and practical tasks such as organising project meetings between the research team and other
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analysing of point cloud data mainly from airborne LiDAR (ALS) but potentially also from terrestrial and mobile sources (TLS & MLS). The goal of the project is to uncover the efficacy of using airborne LiDAR
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This is a Research Fellow post to support the NIHR funded programmes OPtimal Timing of Induction of labour to improve Maternal and perinatAL outcomes (OPTIMAL): An individual participant data meta
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, interpret and make meaning of the data collected. The RF/RA’s principal role will be to support the project through their Epidemiology/Biostatistics expertise, data analysis, scientific writing. In a lean
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distinguished postdoctoral fellowships in Computing Sciences: Luis W. Alvarez Postdoctoral Fellowship, and Admiral Grace M. Hopper Postdoctoral Fellowship. Researchers in computer science, mathematics, data
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that all SUMIT data needs are met and is to the highest ethical standards. They will undertake data collection and anonymisation, data analysis, dissemination and community outreach activities, prepare
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close collaboration with SUMIT activity leads/partners and relevant stakeholders in the region. They will ensure that all SUMIT data needs are met and is to the highest ethical standards. They will
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coordinating all data and research needs within the demonstrator sites especially in relation to ethics and general data protection regulation (GDPR). They will coordinate all work in relation to complex data
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The job details are shown below. For further information click on the link for the job description. About the role We have an exciting opportunity for a Research Fellow to work on a National
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, you will: Support survey instrument design, testing and implementation Undertake data collection, cleaning, coding and analysis, including comparative analysis Assist with communicating results to a