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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
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Python or R). Applicants must meet the required qualifications by time of hire. Please apply here . Applicants' materials must list current and/or pending qualifications upon submission. See Table 24B
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of and ability to suggest/apply appropriate approaches to data analysis * Experience working with REDCap/Qualtrics data exports * Advanced knowledge of python, R, or equivalent data analytic systems
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techniques is preferred. Proficiency in programming languages such as Solidity, Python, C/C++, or Java. Familiarity with decentralized platforms (e.g., Ethereum) and related tooling is a plus. Good publication
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available datasets. Utilize advanced statistical and analytical tools (Python, R, SQL) to derive actionable insights from data. Lab activity support Participate actively in team meetings, brainstorming