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. Ph.D. degree in one of the following areas: Biology, Pharmacology, Bioinformatics, Computational Biology, Statistics, Biostatistics, Computer Science, Computational Mathematics, or other disciplines with
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fisheries science, limnology, ecology, or related field. Strong statistical background. Strong publication record demonstrating the ability to conduct independent research. Strong communication skills
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assessment methodologies (e.g., EMA, wearable devices), advanced statistical approaches (e.g., MLM), grant writing, and clearly articulated research and training goals are highly preferred. Additional
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, descriptive statistics, and regression), (2) writing for publication, and (3) data collection in applied settings, including child care programs, schools, and community settings. The Postdoctoral Scholar should
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health, assists in performing statistical analyses; writes and prepares manuscripts, articles, and research reports for publication and presentation; writes and submits grants applications to obtain
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implementing research statistical methodologies, developing research papers and manuscripts for publication and presentation, coordinating meetings with external collaborators, and assisting in the preparation
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) are seeking outstanding applicants for the Post Doctoral Scholar positions. Under the mentorship of Dr. Brian Searle, the Post Doctoral Scholar will develop and apply novel statistical and computational methods
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Python are essential. Extensive working experience in programing in Fortran and Python is required. Desired Qualifications Experience in numerical modeling and statistical analysis is highly desirable
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. Specialized knowledge of population modeling or coding. Demonstrated ability to analyze population or community datasets using statistical and data management skills and demonstrated communication of project
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. Strong statistical skills including experience with SAS, R-, or other statistical software. At least 1 publication using advanced statistical skills (e.g., multivariable regression). Requires successful