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projects in reproductive genetics, implemented at the Chair of Human Genetics under the supervision of the responsible PI. Tasks involve large-scale genetic and genomic data anlaysis and participation in
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the management of large datasets (in the excess of 21,000 data points) and advanced data analyses, including Hierarchical Linear Modelling and Growth Modelling. Additional responsibilities include providing drafts
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data from major facilities, including NASA’s Kepler, TESS, and JWST missions; ESA’s Gaia mission; and large-scale spectroscopic surveys such as LAMOST. Experience working with large, complex datasets is
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An exciting opportunity is available for a talented researcher to join the large and successful Psychology and Health Sciences departments at the University of Southampton. You will join a large
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range of studies and the methodologies to be used. The post will offer opportunities to apply a variety of data sciences approaches and work with a wide range of large health/clinical/biological datasets
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studies. • Plan and execute experiments; analyse and interpret research findings and large-scale biological data (e.g., genomic, transcriptomic, microbiome) and familiarity with following analyses – sc
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studies. • Plan and execute experiments; analyse and interpret research findings and large-scale biological data (e.g., genomic, transcriptomic, microbiome) and familiarity with following analyses – sc
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for analyzing large-scale data; Excellent academic writing skills in English, with the ability to produce publishable papers and professional reports. Candidates are expected to have a strong background in
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well as competence in handling sensitive and confidential data. The candidate will work closely with the Principal Investigator and other team members to integrate experimental findings and theory to develop new tools
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, manuscripts, and grants, as well as the management of large clinical datasets. Job Description: Job Duties Outlined Research Overview: will perform research in the areas of data management and health outcomes