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Development (20%): Write clean, modular, and well-documented code in C#, C++, Python, or related languages. Develop internal tools for experiment control, device communication, calibration, and data management
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with the molecular biology techniques for extraction, isolation, and analysis of DNA/RNA would be a strong differential. Coding experience is preferred (e.g. R, Julia, Python, Mathematica). Duke is an
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, deep learning Computational genomics, network modeling, spatiotemporal/functional data analysis, time-series Strong programming in R and/or Python; best practices in reproducible research Excellent
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and experience: • Strong background in experimental design and/or causal inference (lab, field, or online experiments) • Extensive experience with data analysis (e.g., R, Python, or similar) • A clear
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, Power BI). Working knowledge of SQL and experience with other querying languages (e.g., SAS, Python, R). Strong analytical, problem-solving, and communication skills. Be Bold. Key Responsibilities (35
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methods. Other Requirements Proficiency in Python and/or R. Skills in survey development, machine learning, NLP, statistical analysis, and LLM integration. Experience with web scraping, HTML/JavaScript, and
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MATLAB, Python, or similar platforms for signal processing and statistical analysis. Maintain accurate records of data and experiments, adhering to laboratory protocols. Device Fabrication & Testing
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scientific programming (Python, MATLAB, C/Fortran, or equivalent) and high-performance computing workflows. Proven ability to work across disciplines and manage complex modeling tasks. Excellent written and
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learning models, and willingness to learn about new methods, is a plus. · Strong programming skills in Python, and Linux Shell; experience in developing methods as open source repositories at e.g. GitHub is
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, are preferred. 2. Experience with network scripting and automation tools such as Ansible and Python preferred. 3. Requires a valid North Carolina driver's license. 4. Requires the ability to lift up