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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Post-Doctoral Associate Mechanics, Statistical Physics, and Disordered Materials About the Job Professor Hudson Borja da
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. Specific Qualifications for Project E To qualify for the fellowship, the candidate should hold a PhD in a relevant field such as statistics, data science, computational biology, physics, or a related
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the scientific design, oversight, and execution of the study while managing research staff and ensuring rigorous data integrity. Applicants should possess a PhD or equivalent doctorate in audiology, hearing
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analysis of non-invasive brain stimulation data. Proficiency in statistical analyses of multivariate data sets. About the Department To learn more about the Department of Neurology, please visit https
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Medicine Postdoc Appointment Term: Fixed term for one year, with opportunity for renewal Appointment Start Date: September 2026 Group or Departmental Website: https://med.stanford.edu/neonatology.html(link
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reconstruction - Formatting of results and statistical analyses - Follow-up of literature and improvement/adaptation of techniques and analyses according to research projects - Participation in team and institute
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/Qualifications - Demonstrated expertise in advanced statistical techniques, such as: Multilevel modeling (HLM, mixed-effects models) Longitudinal and panel data analysis Structural equation modeling (SEM) Causal
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 21 hours ago
provide the candidate with access to complementary expertise, resources, and scientific perspectives across multiple disciplines. Minimum Education and Experience Requirements MD or PhD in a
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; --> actively participating in data collection. - Organise and contribute to data processing and analysis, including statistical analyses such as Item Response Theory (IRT) modelling and exploratory and
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ISGlobal policies and procedures. TRAINING AND EXPERIENCE / QUALIFICATIONS PhD (or equivalent) in epidemiology, environmental health, biostatistics or related discipline Demonstrated record of scientific