-
Postdoctoral Research Associates to support multidisciplinary research on (1) Performance prediction of large-scale concrete dams using machine learning techniques, 2) Fiber-optic sensor-based monitoring
-
joins. Candidates will learn both domain-specific and general research skills, and will be expected to present research at conferences/symposia and in publications. 25% - Successful candidates will take
-
extended to its full duration. Preferred Qualifications Experimental skills in batteries and power electronics, as demonstrated by application materials. Knowledge of machine learning, as demonstrated by
-
projects that use the Self-Determined Learning Model of Instruction (SDLMI), the Self-Determined Career Design Model (SDCDM), the Self-Determination Inventory and other interventions and assessments designed
-
physics data analysis, and potentially including machine learning training and/or development, detector design, upgrade work, service work, development and operation, event simulation, potentially other CMS
-
. At KU, we invest in continuous learning and growth by creating a climate where people engage in respectful dialogue and support each other’s success. We foster a culture of care where each person is seen
-
learning, data science and/or human subjects surveying methods as evidenced in application materials. NOTE: To be appointed at the Postdoctoral Researcher title, it is necessary to have the PhD conferred