-
with the goal of better understanding how places impact people. We develop machine-learning algorithms and non-linear measure of brain dynamics to quantify more vs. less effortful brain states. This is
-
, statistical applications, programming, analysis and modeling on a scheduled or ad-hoc basis. Collects, organizes, and may analyze information from the University's various internal data systems as well as from
-
algorithms for clinical processes in the transplant program and more broadly in the Section of Pediatric Hematology/Oncology & Stem Cell Transplantation. Coordinates transplant research protocol development
Searches related to scheduling algorithms
Enter an email to receive alerts for scheduling-algorithms positions