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. The RA2 must have strong working skills in machine learning, including deep learning, python programming and using PyTorch, and the ability to quickly learn in a fast-changing environment. They will design
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, computer science, or a related field. Technical Skills: Proficiency in programming languages such as Python, R, and MATLAB. Experience with machine learning frameworks and bioinformatics tools. Research
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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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/manuscripts). Some experience with data analysis or the desire to learn data analysis is preferred (example: SPSS, R, SAS, Python). The University of Miami offers competitive salaries and a comprehensive
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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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, 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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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