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for workflow automation, including experience with large language models, prompt engineering, intelligent document processing, and SharePoint-based system integration. The participant will develop skills in data
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. Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants . This is a term position
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institution systems may be submitted. Click here for detailed information about acceptable transcripts. A current resume/CV, including academic history, employment history, relevant experiences, and
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complete application consists of: An application Transcripts – Click here for detailed information about acceptable transcripts A current resume/CV, including academic history, employment history, relevant
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complete application consists of: An application Transcripts – Click here for detailed information about acceptable transcripts A current resume/CV, including academic history, employment history, relevant
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present work-in-progress to PhD students, postdoctoral fellows, faculty, and other members of the Korbel Community. Further, they will benefit from the support and collegiality of the large Korbel faculty
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of experience working in a research setting Highly responsible, cooperative and able to work independently and with initiative Excellent communication, organizational and interpersonal skills to work with a large
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), urinary tract infections (UTIs), and genitourinary syndrome of menopause (GSM). We leverage large, deeply characterized longitudinal cohorts and biorepositories, integrating metagenomics, transcriptomics
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | 24 minutes ago
Position Information General Information Position Number POST40 Working Title Postdoctoral Fellow-Instrumented airfield pavements-Durable/sustainable concrete materials Division Academic Affairs
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well as gain or currently have proficiency in data analysis techniques including analysis of sequencing data. The candidate is expected to work independently on a daily basis, with regularly scheduled meetings