283 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Dr" Fellowship positions in United Kingdom
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information Informal enquiries are welcome and should be made to Prof Dominick Shaw on des21@le.ac.uk As part of the University’s ongoing commitment to professional development, this role will also be
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Full time: 35 hours per week Fixed term: 3 years The Opportunity: To analyse neuroimaging, cognitive, and biological data from the UKRI MRC-funded PREterm Neurodevelopment and COGnition study
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We are seeking a highly motivated and skilled Research Fellow to join the Cancer Data-Driven Detection (CD3) programme. CD3 is a new, multidisciplinary and multi-institutional strategic national
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of what data to analyse first, and whether to gather additional intelligence, potentially at the cost of delay or increased risk. Addressing this challenge is becoming increasingly urgent as both the scale
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team members to ensure all project deliverables are met. Accumulate data from Co-PIs for quarterly, annual, or final progress reports• Schedule meetings with co-PIs, collaborators on-site or off-site
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research in the UK. Have demonstrable ability to manage research projects, oversee resources, collaborations, data, budgets and deadlines. Have a proven track record of developing, planning and delivering
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of what data to analyse first, and whether to gather additional intelligence, potentially at the cost of delay or increased risk. Addressing this challenge is becoming increasingly urgent as both the scale
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at LSHTM. The post-holder must have a postgraduate degree in a relevant topic (ideally Medical Statistics or equivalent) and relevant experience in using regression models for data analysis and statistical
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advanced causal inference methods to analyse longitudinal data on the mediating pathways through which excess heat influences mental health for a Wellcome funded research study called ‘TOLAKARI
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or equivalent professional experience in a relevant discipline such as digital product development, human-computer interaction, UX-design, computer sciences. You will have knowledge of quantitative and