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maintain high-quality research codebases in Python and related tools; implement automated experimentation frameworks, simulation integrations, and evaluation infrastructure; ensure reproducible artifacts
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using Markov chain Monte Carlo techniques. Scientific programming experience using Python. Experience utilizing high-performance computing clusters for research applications. FLSA Exempt Full Time
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, Physics, or related discipline. Experience with Electrical Resistivity Tomography. Programming experience (Python, MATLAB, Julia, or similar). Preferred Qualifications Experience with time-lapse
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conference presentations. Experience with, and proficiency in, scientific programming in Python or MATLAB. Preferred Qualifications Experience with distributed acoustic sensing, nodal arrays, or
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RNA sequencing. Computational analysis in R or Python, particularly gene-regulatory network inference, pathway analysis, or inferred protein-activity analysis. ChIP-seq, viral vector methods, genome
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analysis. Scientific programming ability in Python, MATLAB, Julia, C/C++, or a comparable environment. Ability to work independently while communicating effectively across disciplinary boundaries
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language used in genomics (R, Python, or Bash/Unix). Experience with primary mammalian cell culture in a BSL-2 laboratory setting. Preferred Qualifications The ideal candidate will have a combination of
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scintillation counting). Skill in scientific writing and data analysis using tools such as R or Python. Ability to design, execute, and troubleshoot complex experiments independently. Ability to organize and