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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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Longitudinal Modeling Analysis techniques for school-based research data. Professional Skills . Acquire strategies to write grants and manage research projects. Develop methods and skills to effectively
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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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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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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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. 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