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assessments. - Recruiting participants into research studies and working to ensure their ongoing participation over time. - Conducting mixed methods data collection as part of a community-based trial, via
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relevant global data bases. A team player with excellent organisational and management skills you will use mixed methods research including meta-analysis, interviews with women, partners, and healthcare
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research projects. You should have a PhD in relevant disciplines. The post is available for 18 months at 0.5 FTE. To support flexible working arrangements, the terms of the post may be negotiated to offer
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series, research seminars, and workshops. Candidates will possess a PhD (or be close to completion) in any relevant area of Management. The successful candidate will have expertise in composing large
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also involve managing and coordinating team activities, ensuring efficient operational practices, and fostering strong, productive relationships both internally and externally. You should have a PhD (or
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Liverpool where, in the School of Computer Science and Informatics, we have an active group of PhD students, postdocs, and academics working at the intersection of Machine Learning, Verification and
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, via a range of methods (including online/blended). The ability to teach literature and science, science fiction, and contemporary literature, is essential. Experience in convening modules is also
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and Medical Sciences and will work closely with a large, interdisciplinary team of academic researchers and clinical collaborators. You should have a PhD (or be about to obtain) in areas relevant
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pipelines, assessing AI-driven methods, and loading data into the Ensembl/VEuPathDB platforms. The successful candidate will join an interdisciplinary, international team dedicated to making data FAIR
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if before that date. (post CCT extension may be possible). You must hold a National Training Number at the time of application and have been awarded a research doctorate (PhD) or equivalent in a relevant