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minimum of three years successful teaching experience in grades PreK-12 in public schools. Prior university experience is preferred. The successful candidate will teach undergraduate courses and/or
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, Environmental Science, Remote Sensing, or related field Experience in atmospheric modeling, satellite remote sensing, or machine learning Programming skills (Python or R) Strong publication record Where to apply
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, especially in mathematics, is preferred. Application Instructions For more information and to apply, visit https://apply.interfolio.com/184749 The Colleges are an equal employment opportunity employer and
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Your Job: At the Institute for Advanced Simulation – Data Analytics and Machine Learning (IAS-8) we are looking for a PhD student in machine learning to work within a project linked to the
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athletic program supplements the rigorous academic curriculum. The lessons learned through athletic endeavors represent an invaluable part of the nonacademic aspects of a holistic education. Achieving this
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for retention, timely graduation, workforce readiness, and post‑graduate success. The AVPAS ensures that undergraduate academic experiences are responsive to changing student demographics, learning modalities
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degree in AI, Computing Science, Mathematics, or Data Science. Strong coding, communication and organizational skills. Demonstrable experience with using machine learning packages (e.g., PyTorch
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Posting Summary Logo Posting Number STA00241PO26 Job Family Academic and Career Counseling Job Function Career Services USC Market Title Career Services Manager Link to USC Market Title https
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retirement programs. To learn more about USC benefits, access the "Working at USC" section on the Applicant Portal at https://uscjobs.sc.edu. Position Description Advertised Job Summary Teaching duties will
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samples, phase retrieval in this regime remains challenging, limiting multiscale imaging approaches in near-field holotomography. To address this, the PhD project combines machine learning, high-performance