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addresses these gaps. The research consists of: Develop a new dataset of observed damages and physical conditions based on insurance claims, and deriving improved, statistically robust damage functions
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management abilities; ability to work independently and collaboratively in a multidisciplinary research environment. Experience with human participant research, data collection and analysis, statistical
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AM processes for metallic systems, knowledge and experience in heat transfer/fluid dynamics/structural mechanics through the applications of computational and statistical methods. The position is also
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cell cultures. Knowledge about statistical methods. Able to follow oral instructions. Working Environment Laboratory and research environment. About The University of Texas at Tyler and UT Tyler Health
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The Nuclear Technologies and National Security Directorate (NTNS) is seeking a dynamic and passionate Postdoctoral Appointee with strong background in statistics or machine learning to lead an
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, or be close to completing, a PhD in statistical genomics, genetic epidemiology, data science, computing, artificial intelligence, biomedical engineering, or a related field. You will have significant
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field. No experience required. Preferred Qualifications Ph.D. in Biology, Immunology, or similar field, as well as a strong background in statistics. Experience in epigenetics or gene regulation is a plus
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hold a PhD in the fields of ecology or evolutionary biology, or biostatistics/biomathematics. Required skills: - Data analysis using R and database management - Statistical modelling for ecology
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interventions. Excellent command of advanced statistical methods, including longitudinal data analysis and complex multivariate analyses (e.g., structural equation modelling, SEM). Experience working
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workshops. Applicants must have completed all requirements for a Ph.D. in a relevant field (e.g. atmospheric science, oceanography, geography, geosciences, statistics, applied math, engineering, computer