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for surveys such as IPEDS, CDS, NCAA, and U.S. News. • Experience querying databases and using statistical computer languages: R, Python, SQL, etc. • Experience visualizing/presenting data for stakeholders
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the advantages and disadvantages of the various techniques/tools that you recommend and agree a suitable approach for each project. You should have fluency in Python and/or R, but demonstrable use of other
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publications in high impact journals, advanced proficiency in R and Python, and prior experience in cardiac imaging and high-dimensional data integration are essential. The postholder will be expected to work
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based computing environments, and programming or scripting skills (ie. PHP, Drupal, shell, python) and/or database management The successful candidate may be required to complete a number of pre
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Teams. Proficiency with software such as Python, C++, MATLAB and ROS; and hardware such as industrial robots, and visual inspection cameras. The successful candidate should have demonstrated experience in
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, Dimension Reduction, Computer Vision, Sequential Models. Experience using AI/ML techniques to solve real-world applications. Proficiency in Python. Experience with one or more Python libraries such as NumPy
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PostgreSQL databases, and strong skills with bash, python, perl, or a comparable scripting language are required. Experience working in higher education is a plus! You will be working with a team of systems
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, ModelBuilder, Python, FME, Javascript, .NET, R. Have a professional and customer focused manner. Work flexibly across School buildings and academic areas. Have the potential to further develop your skills across
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work experience to equal at least 8 years. • Experience in computer programming (esp. Java, R, and/or Python) • Strong problem solving skills • Excellent attention to detail • Excellent written and oral
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, Computational Biology, Computer Science, or a related field. Additional Qualifications: • Proficiency in Python, R, SQL, and/or other relevant programming languages; knowledge of Java or C++; familiarity with