18 linked-data-"https:"-"https:"-"https:"-"https:" Postdoctoral positions at University of Liverpool
Sort by
Refine Your Search
-
in observational health data including electronic health records (e.g. Clinical Research Practice Datalink) and genetic data (e.g. UK Biobank) linked to health data to inform the better use
-
data collection and logging across the electrolyser, generating a rich dataset linking device design and operating conditions to performance. Working with partners at the University of Liverpool, you
-
of language would be a major advantage. You will work closely with an experimental postdoc, so an interest in linking modelling and empirical data is important. This post is fixed term for 2 years. This is a
-
information about the job and the person specification are available in the job description. Given the multidisciplinary nature of the project we welcome applications from candidates who hold a PhD (or expect
-
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
-
models) to extract and compare outcomes reported across clinical trial registries, protocols and publications. Working with computer scientists, statisticians, trial methodologists, outcomes researchers
-
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
-
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
-
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
-
-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