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through Microsoft Teams or other agreed-upon platforms to help improve communication strategies within ACES. Knowledge, Skills, and Abilities: • Proficiency in scientific programming (e.g., Python
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methods, including leading technologies and languages - R, Python, SPSS, SQL, Power BI, and Tableau - implementing innovative strategic analytics to inform decision-making for leadership at the University
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, Statistics, Genetics, Computer Science, or a related field. Excellent communications skills in English (both verbal and written). Proficiency in using R/Bioconductor and Perl/Python for genomic data analysis
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thinking skills. Competence in data analysis and visualization using software such as GraphPad Prism, R, or Python. Excellent scientific writing and communication skills, with a track record of peer-reviewed
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experience may be considered. Knowledge, Skills and Attitudes: Proficiency in statistical modeling, machine learning, and data visualization techniques. Strong programming skills (e.g., Python, R, SQL) and
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skills (e.g., Python, R, SQL, or similar). Experience working with interdisciplinary research teams and external stakeholders. Excellent communication, mentorship, and collaboration skills. Experience in
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, atmospheric science, computer science, or a related quantitative field. Certification and Licensing: Prior experience working with atmospheric aerosol data and/or machine learning tools in Python or MATLAB is
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Matlab or Python for statistical analyses. Prior experience as a Chief or Co-Chief Scientist on large-scale oceanographic cruises. The University of Miami is an Equal Opportunity Employer - Females
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spectrometry, chromatography), data analysis software (e.g., R, SAS, Python), and laboratory protocols. In-depth understanding of occupational exposure assessment, biomonitoring, environmental chemistry, and
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for scientific presentations using Power Point, R/Python and other graphics software as needed. Search literature for references to technical problems and keep informed by reading technical journal and