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Field
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flexibly utilize archival data from major space-based and ground-based observatories, including NASA’s Kepler, TESS, and JWST missions, ESA’s Gaia mission, and large-scale spectroscopic surveys such as
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) or/and computational analysis of large data sets are preferred. Please send your CV and the names of three references to Dr. Tingting Jiang (tingting.jiang@mssm.edu)
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timely and quality deliverables. Co-supervision of MSc and Final Year Project students involved in this project. Job Requirements: Bachelor/Master/PhD in Electrical and Electronic Engineering/Computer
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skills and experience: Essential criteria PhD qualified in relevant subject area Experience working with large datasets e.g. CPRD or similar Experience with relevant statistical software (STATA or R
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Faculty of Life Sciences and Medicine Hub for Applied Bioinformatics). We are looking for an ambitious candidate with established expertise in bioinformatics, specifically dealing with large data sets and
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handling, storage, and security of genomic and clinical data. Adhere to ethical, regulatory, and institutional guidelines for genetic data analysis Key Competencies and Requirements: PhD degree in
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leading role in the analysis of host-response genomics in large patient cohorts, including those from recent and ongoing Covid-19 studies. Working with clinical outcome data, you will perform genome-wide
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using Large Language Models (LLM) to query and reason geospatial data. The project aims to develop a pilot decision support systems in collaboration with industry partners. The Postdoctoral Research
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to grant proposals, and present findings at international conferences. What you bring: PhD (or near completion) in Bioinformatics, Computational Biology, Data Science, Statistical Genomics, or related field
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Research Fellow in Intervention Development to join the Big Data in Health Grou About us Our big data in health team at the University of Southampton is based in the Primary Care Research Centre. We