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data collection activities, ability and interest in working with large datasets, and interest in working with interdisciplinary teams of researchers. The expectation is that the scholar would help lead
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Intern to support the development, benchmarking, and large-scale profiling of 3D cancer models within our multidisciplinary team. The ideal candidate is enthusiastic about experimental work, data-driven
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to detail and adhering to data processing standards. Consistency with processing of file entries. Work with Librarians and Staff to process large data files Discipline Specific Required Qualifications
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Register to other national health registries, providing an unprecedented, population-level life course perspective on the benefits and risks of hormonal contraceptives. By integrating big data and advanced
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occupy on the social and economic ladder. More specifically, we use the quickly increasing availability of large-scale genotype data across Europe, along with detailed register and survey data from several
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research assistant for his ERC-funded research project. The chosen candidate will build and operate large-scale data collection pipelines from web sources (full details in sections below). Job location
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world-class research. Further information can be found at https://www.keele.ac.uk/about/ Keele University values equity and diversity across our workforce and to ensuring our staff community is
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, Computer Science, Engineering and Genomics. Previous experience working with disease vector data is not essential and we encourage all applicants interested in large-scale data management, computational design and
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, and radiation. Research activities would include contributing to experiments using the Europa Tower (Stone Aerospace Facility) to provide cryogenic temperatures, hard vacuum, a large ice column, and
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of genomic cancer data, including large public international datasets and patient-derived sequencing data. The project may involve, for example, studies of somatic mutational processes, clonal dynamics, tumor