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outcome sets. You will either need a PhD (or be nearing completion), in computer science, data science, artificial intelligence/machine learning (AI/ML), health data science, bioinformatics or a related
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although not be limited to Target Trial Emulation and Mendelian randomisation. You will be part of a growing and dynamic team which is involved in many aspects of data science, epidemiology, statistics
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have a PhD, or be close to completion, in psychology, neuroscience, developmental science, medicine or a related discipline, and ideally have experience of standardised neurodevelopmental or behavioural
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clinical, epidemiological, and immunological data. You should have a PhD, or be close to completion, in bioinformatics, computational biology, microbial genomics or a related discipline, together
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proteomics, metabolomics, analytical chemistry, biochemistry, systems biology, bioinformatics or a related discipline. Relevant experience in mass-spectrometry-based omics, quantitative data analysis and
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within a multidisciplinary environment at the interface of biomaterials, cell therapy, pharmaceutical sciences and medical device development, contributing to the generation of proof-of-concept data
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hold a PhD (or be close to completion) in, for example, econometrics, statistics, or computer science, with experience of analysing large datasets. The post offers the opportunity to contribute to a
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. Key responsibilities and duties: • Leading on study design, protocol and diet development. • Study ethical approval application. • Leading on participant recruitment, data
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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
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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