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PhD(department of approx 1500 students enrolled . The incumbent must also have proven experience supporting large, diverse student populations in a university or college setting, and will be expected
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advance software engineering principles and practices and serves as a national resource in software engineering, computer security, and process improvement. The SEI works closely with defense and government
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of best practices in machine learning and statistical inference. Provides expertise for high level or complex data-related requests and engages other IT resources as needed. Performs other related work as
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computational chemistry and materials science, with a focus on the use and development of computational and machine learning methods, who has a critical eye, a deep understanding of their subject and interests
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opportunity to teach in one or more of these modalities based on training and experience., FLCC is committed to diversity, equity, and inclusion, and strives to provide an environment that embodies
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non-tumor signals with machine learning to find cancer in its earliest, most-treatable stages. Cancer is relentless. This is why Freenome is building the clinical, economic, and operational evidence to
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Associate (Interdisciplinary Humanities) Call for Applications (Cornell PhD candidates and recent Cornell PhDs) Eligible applicants for this search are Cornell University PhD candidates and recent Cornell
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University of California, San Francisco | San Francisco, California | United States | about 1 month ago
learners. Coordinates program operations, which include teaching and learning activities, program curriculum, learner scheduling, reporting education data, maintaining databases, tracking learner compliance
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Description We are seeking an entry-level data scientist, junior faculty to join our clinical data research lab. The ideal candidate will have a strong foundation in statistics, machine learning, and data
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materials and devices, calorics, heat transport, and thermal management. Experience with applied computational techniques and machine learning methods is a plus. Some postdoctoral research experience is