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for this position, please call 352-392-2477 or the Florida Relay System at 800-955-8771 (TDD) or visit Accessibility at UF . This is a postdoctoral associate position (100% Research) available in the Statistical and
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. Work will emphasize the development and analysis of advanced methods in areas such as sparse signal recovery, compressed sensing, and statistical estimation, with a particular focus on their role in
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methods for disease prediction, precision medicine, and clinical decision support. Applicants must have a Ph.D. in biomedical informatics, computer science, data science, biomedical engineering, statistics
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of machine learning models. · Experience with statistical analysis, multivariate methods, or comparative and phylogenetic analyses. · Experience using high-performance computing (HPC), cloud computing
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of public health, biostatistics, pharmacoepidemiology and epidemiological studies. They must be proficient in data analysis using statistical or computer modelling software, such as Stata or R. They should
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across two sponsored projects, including: developing and applying statistically based calibration, audit, and validation procedures for automated pavement distress data collection systems; evaluating and
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, Psychology, Human Factors, Human-Computer Interaction, Statistics Data Science, or a related discipline is required. The candidate must have experience conducting and publishing research in one or more areas
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methods such as S-TEM, TGA/DSC. • Familiarity with process simulation software, mass-balance calculations, kinetic modeling, statistical analysis, or data-driven process optimization. • Demonstrated record
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and statistical analysis skills for experimental data interpretation. Rigorous scientific documentation practices, including maintenance of detailed laboratory notebooks and research records. Excellent
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a one-year position. Duties/Responsibilities Research & Analysis (90%) Conduct independent research focused on integrating robust machine learning and statistical approaches with acoustic data