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programming or scripting experience (Java, Python, JavaScript, etc.) Familiarity with Microsoft 365 tools (Teams, SharePoint, OneDrive) Coursework in computer science, information technology, or related fields
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& Automation: Strong Linux administration skills and experience with scripting (Bash, PowerShell, Python, or Ansible) and - Infrastructure as Code (IaC) tools like Terraform and Ansible. - Modern Technologies
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Python, MATLAB, and/or Simulink is highly desirable. Experience with SolidWorks and 3D printing is preferred. Strong problem-solving skills and attention to detail are essential. Previous experience in
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professional experience or academic coursework. · Advanced degrees, scientific programming language(s) (Python, R, Matlab) and computer related skills (networking, Linux) are beneficial. · Bachelor’s Degree in
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reports to publication. Researching new software solutions, such as R-packages, Python, Google colab, Jupyter notebook, ShinyApp, SAS PROCs or macros that might be useful to Statistical and Data Analytics
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molecular, cellular, or quantitative biology. Experience with microscopy, image analysis, computational analysis, or data visualization preferred. Exposure to programming or analysis tools such as R, Python
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or Python. Responsibilities include teaching two undergraduate courses in each of Lawrence’s three ten-week terms. The successful candidate will be the third statistics and data science faculty member in
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-performance computing, and Python-based data analysis. Equivalent combination of education/experience. Equivalent education and/or experience may substitute for minimum qualifications except when
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. Knowledge of basic mathematical and statistical concepts and skill in using standard computer and scientific software, including data analysis or analytical tools such as R, Python, ArcGIS, or comparable
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and modelers to use the optical constants in the analysis of observational data from, e.g., Hubble, Spitzer, JWST. Candidates are expected to be proficient doing data reduction and analysis using Python