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suitability of available data resources. Collect, preprocess, integrate, clean, transform, and analyze large-scale structured and unstructured healthcare data, including EHR, claims, registry, research, and
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bioinformatics analysis of large proteomic data sets Prior experience in bioinformatics analysis of spatial-proteomics data Demonstrated expertise in data-independent acquisition (DIA) workflows, including
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Agencies will be returned. Prior to application, further information (including application procedure) should be obtained from the Work at UCD website: https://www.ucd.ie/workatucd/jobs/ Where to apply
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, and cloud-based resources for large-scale data analysis and model development. Using these rich data resources, we develop and apply advanced AI/ML methods to model tumor evolution, identify clinically
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Applications are invited from early-career postdoctoral researchers who can demonstrate an established track record in big data analytics within the field of substance use. The two-year full time
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Summary You will assist with a funded research project testing whether AI-generated survey responses can serve as a low-cost, pre-testing tool before human data collection, using large language
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variant analysis and curation, helping to identify genomic variants underlying rare disease. Maintain and manage large datasets, including data storage and data transfer of genomic data. Contribute
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. Experience working with large-scale text corpora, bibliometric data, or other unstructured data sources relevant to knowledge and information systems. Familiarity with social and semantic network analysis
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, the College of Medicine, which includes the Burnett School of Biomedical Sciences, provides rich opportunities for collaboration. For more information see www.creol.ucf.edu . Applications are invited for a
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(5000+ SNP) and multi-generation pedigree data to test the evolutionary potential for climate adaptation in a wild population. (Lab: https://petersresearchgroup.org ) The evolution of metabolic rate and