-
systems architecting AI/ML-driven clinical and operational decision support Digital health and learning health systems Healthcare operations, resource allocation, and workflow optimization Network, graph
-
crane. The successful candidate will build reproducible machine learning pipelines, integrate detections into spatial ecological models, and generate conservation-relevant outputs for regional partners
-
of Time • Conduct experimental research, including characterizing mechanisms of plastic and e-waste degradation, genetic modification and engineering of model and non-model microorganisms, designing
-
work, satisfactory performance and continued funding. Anticipated Division of Time Conduct experimental research, including characterizing mechanisms of plastic and e-waste degradation, genetic
-
will contribute to research at the intersection of: • Health systems engineering and systems architecting • AI/ML-driven clinical and operational decision support • Digital health and learning health
-
the university. Depending on interests and feasibility, they may be able to teach and/or engage in off-campus fieldwork with Professor Bezner Kerr. Anticipated Division of Time The successful candidate will split
-
working on their own research and connecting to colleagues across the university. Depending on interests and feasibility, they may be able to teach and/or engage in off-campus fieldwork with Professor
-
, systems or molecular biology or related fields. A track record of independence, and a high level of enthusiasm for interdisciplinary research, learning new skills and a demonstrated ability to well as part
-
, synthetic, systems or molecular biology or related fields. • A track record of independence, and a high level of enthusiasm for interdisciplinary research, learning new skills and a demonstrated ability to