Sort by
Refine Your Search
-
Category
-
Field
-
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
-
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
-
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
-
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
-
and resolve gaps/disparities in whole-person care. Partake in biopsychosocial distress screening, interdisciplinary communication, collaborative care navigation, and follow-up algorithms. Perform
-
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
-
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