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assimilation and machine-learning techniques, (b) process understanding of the neighborhood risk of heat waves and fires associated with the change of weather pattern, and (c) novel algorithm development
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validate artificial intelligence (AI) algorithms for analyzing OCT imaging in diabetic macular edema (DME). Data processing and image annotation to support development of AI models trained on OCT scans from
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navigation, and follow-up algorithms. Successful candidates will be required to self-disclose any misconduct history or pending research misconduct investigation including but not limited to sexual misconduct
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ecology. Any research interests within these broad fields are encouraged, including (but not limited to) work on population/community assembly, distributions, dispersal, interactions, and function
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the kinetic plasma theory and application of the field-particle correlation technique using electromagnetic field and particle velocity distribution measurements from numerical simulations or spacecraft
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and resolve gaps/disparities in whole-person care. Partake in biopsychosocial distress screening, interdisciplinary communication, collaborative care navigation, and follow-up algorithms. Perform
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conditions. The candidate will learn the kinetic plasma theory and application of the field-particle correlation technique using electromagnetic field and particle velocity distribution measurements from
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required. Required Qualifications: Expertise in one or more of the following areas to solve problems in computational epidemiology as they relate to HAIs: AI, algorithms, discrete optimization, data mining