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instrumentation, measurement systems, and data acquisition Good skills in signal processing and image processing Proficiency in at least one scientific programming environment (Python or MATLAB) Basic knowledge
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Benchmarking or deaR (DEA) lm / glm (regression) Python Libraries pandas, numpy, statsmodels pyDEA (for DEA)
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, education, and/or experience. Required Certification, Licensure/Other Credentials Preferred Qualifications Technical Expertise: Proficiency in R or Python for longitudinal modeling (e.g., Latent Growth Curve
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data analysis workflows in Python Conduct citation analysis of innovation and collaboration patterns Assist with machine learning and/or LLM-based analysis Participate in mentoring junior researchers in
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proficiency in programming languages (e.g., Python, C/C++), knowledge of control algorithms and/or existing architectures (e.g., ArduSub, ROS2) for autonomous navigation, and the ability to develop innovative
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processing and image representation Demonstratable experience in python for data handling and algorithm development Desirable : Knowledge and experience with imaging systems (X-ray CT, MRI or similar
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of extracted experimental parameters Design and execute Python-based scripts to infer derived parameters and standardize units and formats Integrate external databases and online resources to enrich curated
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also code in R and Python, all of which will lead to their work on developing their own research question, running data analysis, writing an abstract and presenting a poster. Additional Information
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programming skills (e.g. Python or similar) and data‑workflow design; an excellent track record of research dissemination; and the ability to work effectively in an interdisciplinary and international team
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include cloud based Trusted Research Environments (TREs.), Microsoft Azure, SQL, Python and Git. You will be based within the Faculty of Health and Life Sciences, reporting to the CHIL CTO, and will work