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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 8 hours ago
analytical skills, mentoring experience, and interest in the Hantman Lab. Quick Link https://unc.peopleadmin.com/postings/325671 Posting Contact Information Department Contact Name and Title Sarah Willis, HR
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Computational pathology and digital pathology using whole slide imaging (WSI) Spatial biology, spatial transcriptomics, and multi-omics data integration Large language models (LLMs) and foundation models
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required. Candidates with experience in artificial intelligence techniques in radiation therapy, imaging analysis, bio-physics modeling and big data management would be preferable. It is also desirable
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Solutions, Big Data Analytics, Clinical Support, Communication, Computer Literacy, Data Management, Interpersonal Relationships, Organizational Leadership, Public Health Research, Qualitative Analysis
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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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of statistical software such as STATA, R, or SAS, will be considered an advantage. Documented experience in independently working with register data or other large datasets will be considered an advantage
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variety of duties depending on whether it is a small clinic, large medical practice, multi-clinic, or a specialty office. They may be involved in both the clinical and administrative areas including
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-ups. Participating in nursing rounds at the beginning and end of each shift to exchange essential information. Utilizing EMR INSTINCT and CUREATR hospital text messaging systems as applicable. Ensuring
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-ups. Participating in nursing rounds at the beginning and end of each shift to exchange essential information. Utilizing EMR INSTINCT and CUREATR hospital text messaging systems as applicable. Ensuring
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interactions, and will emphasize rigorous uncertainty quantification and reproducible, scalable analysis of large multi-omics datasets. The successful candidate will be expected to work closely with clinical and