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Field
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Center for Devices and Radiological Health (CDRH) | Silver Spring, Maryland | United States | about 11 hours ago
focused on the development of methods and tools in support of our regulatory science efforts in evaluating computational pathology (CPATH) devices. As a fellow, you will have the opportunity to learn about
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of created datasets. Data Analysis – Under the guidance of Dr. Bates, the candidate will be expected to learn and participate in the statistical analysis of collected data to prepare results for publication
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research supporting the understanding and development of crate and wood container design procedures including loading conditions, material variability studies, and connections Job Description The Department
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, populations and communities through excellence in education, patient care, community service, research and technology development, and through leadership activities in Michigan, nationally and internationally
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developing and applying process-based simulation models, especially dynamic food web models and bioenergetic models. Experience in multi-disciplinary teams, including other natural sciences, social scientists
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Description of Work Unit The Department of Human Development and Family Studies is one of eight academic programs in the College of Health and Human Sciences. Colorado State University (CSU) is Colorado’s land
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Emory University is a leading research university that fosters excellence and attracts world-class talent to innovate today and prepare leaders for the future. We welcome candidates who can
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Emory University is a leading research university that fosters excellence and attracts world-class talent to innovate today and prepare leaders for the future. We welcome candidates who can
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Center for Devices and Radiological Health (CDRH) | Southern Md Facility, Maryland | United States | about 11 hours ago
to minimize algorithmic bias. Develop expertise in evaluating AI devices that can adapt and learn post-deployment, including understanding evolving algorithms and creating methodologies to assess algorithm
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specification and verification tools (e.g., TLA+, Coq, SMT solvers, etc.) is strongly preferred. ● Familiarity with high-assurance languages or provably-correct software development. ● Knowledge of low-level