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interacting with a team of researchers from several universities. Knowledge of advanced statistics and experience working with MPlus, SPSS, R, and other statistical packages is required. Experience using large
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compliance with the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act (Clery Act), each year the University of Arizona releases an Annual Security Report (ASR) for each
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Security Report (ASR) for each of the University’s campuses. These reports disclose information including Clery crime statistics for the previous three calendar years and policies, procedures, and programs
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skills (statistics, information theory; estimation theory); strong simulation skills for algorithm development; and a problem-solving mindset for signal processing challenges. It is desirable that you have
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Staphylococcus aureus biology and pathogenesis using in vitro and in vivo models. ● Document data generated in studies, analyze data with appropriate statistical methods, prepare manuscripts for publication in
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obtained in monkeys on implicit statistical learning within our laboratory. • Mastery and adaptation of bio-inspired Hebbian learning models • Evaluation of the ability of these models to account for data
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… Requirements Research FieldPsychological sciencesEducation LevelPhD or equivalent Skills/Qualifications Communication, Organisational skills, Research skills, Statistical experience analysing large-scale
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, neuroscience, or a related field is required. Cognitive neuroscience expertise and a track record of academic publications are required, and expertise in advanced statistical methods involving HLM is highly
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background in statistics, and familiarity with large data sets such as metabolomics or epigenetic sequencing. Experience in epigenetics or gene regulation is a plus. Experience with statistical analysis tools
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(for example, the distance between the sensors) or based on statistical properties of the measured data (for example, the correlation between the measurements of the different sensors) [2]. Graph-based learning