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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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experiments (e.g. native/Hdx-MS, SPR or FRET). Qualifications: Proficiency in at least one computer language as in C++ and/or Python is required. This project also uses Javascript, REACT, and GTK. Experience in
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, evaluating solutions, implementing solutions, and supporting team members to use solutions. The Data Manager will be responsible for: · Using Python, SQL, R or other relevant software to develop and
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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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metamaterial design is a plus. Proficiency in programming (e.g., MATLAB, Python, or C++) and relevant simulation software (COMSOL and/or Abaqus). Excellent communication skills and a proven record of
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problems Ability to work with statistics software, such as Stata Familiarity with programming languages, such as Python Qualifications: Bachelor's degree in finance, economics, statistics, computer science
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University of California San Francisco | San Francisco, California | United States | about 2 months ago
dashboards using programming languages and tools like SQL, R, Python, Shiny, and/or Power BI Conducting data analysis, data quality assurance, and quality improvement projects Developing protocols and
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-scale simulations (e.g., MD, DFT, ML-FF) Demonstrated proficiency in computational programming (Python, C++, or related programs) Demonstrated experience with writing research publications Proposed Start
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to work independently and collaboratively in a team-focused environment. Essential skills and knowledge include: • Proficiency in data tools such as Excel, SQL, Power BI, Tableau, R or Python