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Field
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. Knowledge of survival analysis. Knowledge of machine learning methods. Other Requirements Application materials must include: Curriculum Vitae (CV) Statement of research interests Names of three professional
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the supervision of the Principal Investigator, including but not limited to the following: Develop new computational tools through the application of AI / deep learning / machine learning / statistics on spatial
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the University, including Texas Robotics, the Machine Learning Laboratory, the Institute on Foundations of Machine Learning (an NSF AI Institute), Learning Directed Operating Systems (NSF Expeditions in Computing
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. Experience of critical appraisal and meta-analysis. Excellent written and verbal communication skills, with the ability to work effectively with clinical and non-clinical collaborators. Desirable Criteria
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-learning-toolkit) to update and develop the evidence base using systematic reviews and analysis of evidence from meta-analyses as well as single studies of educational interventions and evaluations. The aim
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holistic, expected of our graduates. Our instructional faculty typically teach three courses a semester, with two of those courses usually being instances of the same course. Our class sizes tend to be
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epidemiology, remote sensing, machine learning and/or meta-analyses to identify impacts of environmental change on infectious disease dynamics and design targeted surveillance approaches; - Develop and implement
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; evaluation of AI and open source tools that support meta-research workflows; living evidence synthesis methods; and/or bibliographic infrastructure; Teach workshops and develop curriculum on topics such as
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optimization and meta-heuristics; economic paradigms (game theory, mechanism design, electronic markets); agent modeling and simulation; agent planning, scheduling and decision support; agent learning and
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optimization and meta-heuristics; economic paradigms (game theory, mechanism design, electronic markets); agent modeling and simulation; agent planning, scheduling and decision support; agent learning and