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for engineering applications and scientific applications (FORTRAN, C, C++, Ada, Matlab, Python, and/or Simulink, etc.) Willingness to concurrently work multiple projects (usually 2-3) Ability to work closely with
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, epigenomics) Utilize and implement tools such as Scanpy and other single-cell analysis frameworks Develop and maintain reproducible workflows in Python and related programming environments Collaborate with
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languages including MATLAB, Python, C++, and FORTRAN Demonstrated ability to lead the development of projects using the aforementioned languages Proven ability to read and understand complex applied
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engineering practices Software programming, programming languages, and development environments (to include at a minimum C, Java, or Python) Ability to express technical information clearly and concisely in
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environments (to include at a minimum C, Java, and Python) Knowledge of cybersecurity testing / penetration testing tools and methodologies Ability to express technical information clearly and concisely in
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analysis. Programming experience (e.g., R, Python, or related languages) is preferred but not required. Applicants should also be willing to mentor undergraduate and graduate students, as the research
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Python Statistics Data analysis Communication (written and verbal) This does not mean you need expertise in these areas but rather that you have some base knowledge upon which you can build expertise
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compliance monitoring processes Apply advanced Excel techniques (complex formulas, Power Query, PivotTables, VBA/macros) and Python or similar tools to automate analysis and reporting Identify trends
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analytics objectives Visualize, interpret, and report data findings in dynamic data reports Required skills/experience areas include: Python Linux, including familiarity with bash and shell scripts Cloud
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and problem solving skills Expertise with scripting languages (e.g., bash, python, perl), batch schedulers (e.g., Slurm, Torque, PBS), and configuration management tools (e.g., Puppet, Chef, Ansible