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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 11 hours ago
Preferred Qualifications, Competencies, and Experience Development of automated pipelines for large-scale data processing deployable on cluster such as SLURM Experience working with DICOM data and imaging
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named Penn one of America’s Best Large Employers in 2023. Penn offers a unique working environment within the city of Philadelphia. The University is situated on a beautiful urban campus, with easy access
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hypertension. This post creates a unique opportunity to generate high quality plasma proteomics data on a large patient cohort using mass spectrometry approaches. The postholder will then analyse these data
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for: Analysis of bulk and single cell RNA-sequencing, spatial transcriptomics, and proteomics datasets Integration of experimental model data with public and clinical datasets Statistical modeling and survival
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Link https://www.ubjobs.buffalo.edu/postings/64267 Employer State Faculty Appointment Term Position Type UUP Faculty Bargaining Unit 08 - UUP Posting Detail Information Fiscal Year 2026-2027 Position
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of children through excellence in advocacy, education, research, and clinical care. For more information about the Department of Pediatrics, please visit: http://medicine.utah.edu/pediatrics/ . Mutual respect
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that support advanced machine learning, reinforcement learning, and foundation model research across large-scale clinical environments. What You'll Do: Design, build, and optimize distributed data processing
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rotations in specialised themes, with university base days to ensure core content, clinical skills and professionalism learning outcomes are achieved You will support students in small and large group
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, Clinical Research Center personnel, UNeHealth/SPA, accounting and IRB personnel to ensure optimal outcomes. Directs the research study team. Position Details Additional Information Posting Category
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the landscape of novel target expression, quantify its heterogeneity, and the contribution of tissue architecture as a determinant of expression profiles. This project will involve large scale data processing and