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-driven protocols, pipelines, and validation strategies for real-world deployment. Work includes method development, reproducible workflows, data curation, and experimental design to support multi-project
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expertise/interest in Bayesian methods for addressing measurement error. Ideally PhD within the last 5 years. Advanced level experience with R, desired knowledge of Nimble, Overleaf. Excellent communication
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inverse modeling methods, machine learning, and artificial intelligence techniques. Appointment Details: Start date: As early as March 1, 2026. Annual Salary: $55,000 Application review: Ongoing until
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Position Summary: Proposed project title: “Targeted & Non-targeted analysis of PFAS in food packaging“. Develop and apply liquid chromatography (LC) methods coupled with high-resolution mass spectrometry
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tissue culture, genome editing, FACS, microscopy and other fluorescent detection methods, nucleic acid extractions, next generation library construction and sequencing, immunoprecipitation techniques, and
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preparation and data analysis AND/OR - Experience with scRNA-Seq, CHIP-Seq or related methods, including library preparation and data analysis AND/OR - Extensive experience with in vitro or in vitro reporter
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on enhancing health science education by applying psychological and educational theories, interdisciplinary research methods, and leveraging advanced technologies. Their research is primarily informed by
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people of the United States of America. Available to graduate students, faculty, professionals and independent researchers, successful applicants conduct research, lecture, or enroll in formal academic
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dedicated to building an inclusive community of scholars with an array of experiences, perspectives, and methods and welcomes a diverse pool of applicants. Terms Each year, five or six Academy Scholars