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equitable scholarly environment in research, mentoring, and service. Your work will focus on the SEAMLESS (SEmi-Automated Machine LEarning Search for Semi-resolved galaxies) survey, whose goal is to identify
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Location Greater Phoenix Area Address 475 N. 5th Street, Phoenix, AZ 85004 USA Position Highlights A postdoctoral position is available to teach gross anatomy in the Department of Basic Medical Sciences
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experience with spatiotemporal analysis using R, Python, and/or comparable computer programming languages. Presenting results at national conferences. Leading the development of manuscripts with the aim
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sequence programming (e.g., IDEA/ICE) and contemporary image reconstruction techniques (e.g., compressed sensing, parallel imaging, model-based or deep learning reconstructions). Knowledge of radial data
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sequence programming (e.g., IDEA/ICE) and contemporary image reconstruction techniques (e.g., compressed sensing, parallel imaging, model-based or deep learning reconstructions). Knowledge of radial data
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clear, concise manner orally and in writing. Ability to create clear presentations and use strong interpersonal skills with a collaborative mindset. Ability to effectively teach, mentor, and guide
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), pressure chambers for assessing plant water potential, and fluorometers. We are looking for someone to utilize these resources, agrivoltaic learning labs, and our interdisciplinary team of staff and students
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Ability to acquire new skills beyond current expertise to achieve project objectives. In-depth theoretical and practical knowledge in engineering or cell biology. Ability to work independently and
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compensation growth over time. The university offers compensation growth opportunities within its career architecture. To learn more about compensation, please review our Applicant Compensation Guide and our
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to learn new skills outside of current discipline and comfort zone to accomplish project goals. Demonstrated broad theoretical and practical knowledge within the fields of tissue engineering, or cell biology