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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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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
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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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and programming skills, namely in the use of MATLAB and Python. Candidates who do not meet these requirements will be excluded. Additional optional skills and qualifications: Proven experience in
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, classification, summarization, and belief or sentiment measurement. Collecting, cleaning, merging, and managing large-scale structured and unstructured datasets using Python, R, Stata, and related tools. Assisting
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. Preference will be given to candidates proficient in design and development of a new optical instrumentation, FLIM, software development, especially with Java for ImageJ/Fiji, Python, LabVIEW, and MATLAB, and
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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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languages including Python, R, Julia, MATLAB, C, C++, etc. 6. Experience with development, implementation, and management of clinical/translational research protocols. 7. Broad technical competence