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: Department of Biochemistry Course Title: Biophysical Methods in Biochemistry Course Code: BIOC 404 Estimated Number of Positions: 4 Total Hours of Work per Term: 20 Name of the Course Coordinator
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: Ingram School of Nursing Course Title: Research Methods in Nursing 1 Course Code: NUR2 612 Estimated Number of Positions: 1 Total Hours of Work per Term: 90 Hiring Unit: Ingram School of Nursing
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: Ingram School of Nursing Course Title: Research Methods in Nursing 1 – NUR2 612 Course Code: NUR2 612 Estimated Number of Positions: 2 Total Hours of Work per Term: 90 Hiring Unit: Ingram School of
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experience Strong practical knowledge of machine learning with large datasets Experience : Experience with cloud-based, parallel, or distributed computing environments Hands-on experience developing
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experience Strong practical knowledge of machine learning with large datasets Experience : Experience with cloud-based, parallel, or distributed computing environments Hands-on experience developing
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. Responsibilities: Build and optimize computational meshes for numerical simulations. Set up and validate simulation boundary conditions. Perform simulations using high-performance computing resources
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tokenization techniques and self-supervised learning methods to integrate diverse data streams (cognitive results, text, creative choices, psychometrics). ● Train models utilizing novel multi-modal
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Summary: We currently have an opening position as a Research Assistant 2 (RA2) working with Prof. Gaskin. Responsibilities: Literature review of numerical models of river confluence mixing
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proteomic and transcriptomic data. Analyze genotyping array, whole-genome sequencing and proteomic data from institutional and international cohorts on high-performance computing clusters. Work with
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/ multi-ancestry methods to biobank-scale human genetics and proteomics data. Analyze plasma and tissue proteomics data (e.g., Olink, SomaScan) integrated with genotype, phenotype, and electronic health