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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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, 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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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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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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- Strong programming, statistical, and technical skills (e.g., Matlab, Python, R) Please apply with your cover letter, CV, and 2-3 references. For people in the EU, click here for information on your privacy
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on the design and development of mathematical, probabilistic, and statistical frameworks for drawing inferences from complex biological data in collaboration with scientists at the Snow Centre for Immune
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proficiency in qualitative data analysis software (e.g., NVivo) and relevant statistical/modelling tools; Show a strong publication record in peer-reviewed journals commensurate with career stage; and Possess
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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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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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… Requirements Research FieldPsychological sciencesEducation LevelPhD or equivalent Skills/Qualifications Communication, Organisational skills, Research skills, Statistical experience analysing large-scale