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or related discipline to develop their data analysis and modelling skills and experience, applied to the field of health economics. We wish to encourage people who have strong quantitative skills who may be
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working full-time. An exciting opportunity has arisen for a talented graduate in a quantitative STEM, psychology, health or social sciences or related discipline to develop their data analysis and modelling
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offers the chance to work with zebrafish disease models, explore new therapeutic targets, and gain invaluable experience in experimental techniques such as CRISPR gene editing, in vivo imaging, and
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Position Details Position Information Department Biol & Ecol Engineering (ABE) Position Title Faculty Research Assistant Job Title Faculty Research Assistant (Biological & Ecological Engineering
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microbes chemically/physiologically. Computational work could include genomic analyses, machine learning, and simple mathematical modeling approaches. Responsibilities Responsibilities include the following
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-source software packages. As a Research Assistant, your primary duty will be to support the analysis of real-world data mapped to the OMOP Common Data Model, contribute to wider project planning, including
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model for innovative medical education and a centre for transformative research. The School’s primary clinical partner is the National Healthcare Group, a leader in public healthcare recognised
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between project workstreams—agronomy, modelling and economics. The successful candidate will undertake both desktop and field activities. Key activities include: Data management, processing, analysis and
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) carry out research and submit papers to top journals in the field of large language models. Additionally, the appointee will be responsible for submitting grant proposals to various funding bodies
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The Role We are seeking a highly motivated researcher - either a Grade 7 PhD holder, or a Grade 6 graduate - to join the IMPACTS project, funded by the Northern Net Zero Accelerator. The project