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opportunities to collaborate across Indiana University’s aging research network. Projects are clinically motivated and span mixed methods intervention development, usability testing, implementation research, and
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opportunities for collaboration with Michigan State University, and IU’s network in cognitive modeling, AI, and human–AI decision research. This postdoctoral appointment is full-time and on-campus. Job Duties 80
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previous full-time work experience in higher education and demonstrated experience leading complex projects. Above all, candidates should show evidence of leadership potential, and the ability to collaborate
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education contexts mentioned above; and possess strong written communication skills and demonstrated experience leading complex projects. Above all, candidates should show evidence of leadership potential
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). • Strong computational skills (with Python or Julia or C++ or Matlab or equivalent) and using numerical techniques such as exact diagonalization, tensor-network techniques (DMRG, TEBD, PEPS), or others
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leading role in the synthesis of network observations, including forest inventory data (e.g. from the USDA Forest Inventory and Analysis program) and flux tower data (e.g. from AmeriFlux and FLUXNET
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professionals and provide care for patients with disabilities, including those with complex craniofacial disorders and medical complexity in an interdisciplinary setting. Basic Qualifications Applicants should
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opportunities for collaboration with Michigan State University, the Milwaukee Police Department Academy, and IU’s network in cognitive modeling, AI, and human–AI decision research. This postdoctoral appointment
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include the Society for Maternal-Fetal Medicine (SMFM) Annual Meeting and the North American Fetal Therapy Network (NAFTNET) Fall meeting. Skills: Proficiency in statistical analysis and experience using