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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
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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
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Structural Biology Center and the Mass Spectrometry & Analytical Proteomics Laboratory. Office space adjacent to the laboratory and a desktop computer will be provided. Job Description Work directly with PI
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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
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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
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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
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KU Innovation Park. Office space adjacent to the laboratory and a desktop computer will be provided. Job Description 70% - Design and execute in vitro and in vivo experiments (e.g
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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
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a PhD in biochemistry, molecular biology, chemistry, physics, engineering, or a closely related field in single-molecule biophysics. Candidates should also have extensive research experience in
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and interpersonal communication skills as evidenced by the application materials. NOTE: To be appointed at the Postdoctoral Researcher title, it is necessary to have the PhD conferred at the time of