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with environmental/scientific datasets (cleaning, processing, analysis, synthesis). Strong programming skills, especially Python (or comparable scientific programming). Experience with LLM-assisted
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the Linux operating system, bash scripting, Git, Python, and reproducible software environments. Demonstrated expertise in writing advanced software in Python and in the design and implementation of deep
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, ethical, and reproducible research and to communicate effectively with both computational and clinical audiences. Strong programming skills in Python and comfort working in Linux environments. Demonstrated
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detector, and/or future detector upgrades. Candidates should have extensive programming experience in C++ and Python, and some experience in machine learning techniques is preferred. The position will be
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using AI tools, Python, MATLAB, R, or similar tools Position Details Expected start date: Summer/Fall 2026 (flexible) Competitive salary and benefits Location: University Park, Pennsylvania Penn State
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populations). Proficiency in R, Python, and SQL. Certifications/Licenses Required Knowledge, Skills, and Abilities Leadership role on funded grant(s). Preferred Qualifications Experience with EHR data such as
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, GraphPad Prism, Python/R, or related tools. Experience or interest in cancer pharmacology, immuno-oncology, natural killer cell biology, drug discovery and development, translational therapeutics, blood
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analysis and familiarity with R, python or another programming language Experience in molecular biology techniques including immunohistochemistry, qPCR, cell culture, ELISAs Software experience including
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for advanced data analysis and/or experimental control (e.g., Python, SPEC, MATLAB, etc.) Experience with relevant sample preparation and lab-based analyses (e.g., SEM, Raman) Experience with or interest in
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(HPC), or large-scale data analysis. Experience in applying AI/ML techniques to hydrological and Earth sciences. Proficiency in scientific programming languages such as Python, Julia, R, Fortran, or C/C