18 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" Postdoctoral positions at University of Liverpool
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Postdoctoral Research Associate (PDRA) to work on Professor Sofat’s NIHR funded Research Professorship. She leads a multi-disciplinary team of clinical, data and discovery scientists working in the field
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researchers with: Experience of data collection, management, and statistical/epidemiological analysis. Proven interest in food-producing animals and factors impacting their performance Experience in analysis
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models) to extract and compare outcomes reported across clinical trial registries, protocols and publications. Working with computer scientists, statisticians, trial methodologists, outcomes researchers
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investigating the microbiological and immunological basis of noma. You will lead defined components of the bioinformatic analysis of shotgun metagenomic sequence data generated from oral samples collected from
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research and desk-based responsibilities for study design and management, data analysis and dissemination. You will have experience of conducting experimental psychology research with human participants
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assessors, and contributing to the design of behavioural and developmental assessments for future follow-up. You will also have opportunities to analyse C-GULL data, contribute to publications and develop new
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-spectrometry-based proteomic and metabolomic workflows, quality control, quantitative data processing, statistical analysis and integration of proteomic and metabolomic datasets. You will also contribute to data
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nitrogen-containing products and assess system performance. You will contribute to the design and testing of the prototype system, analyse experimental and simulation data, and publish the resulting research
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examines gambling behaviour and ways to address gambling harm. Two types of data will be employed. The first is publicly available data from national surveys and from the Gambling Commission, such as the
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where possible This post is to work on the Horizon funded project SaliNova: Advancing Europe’s Capacity to Monitor, Predict and Manage Soil Salinization for Adaptation and Mitigation with Novel Data and