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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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University of California San Francisco | San Francisco, California | United States | about 4 hours ago
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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University of California San Francisco | San Francisco, California | United States | about 5 hours ago
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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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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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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Benchmarking or deaR (DEA) lm / glm (regression) Python Libraries pandas, numpy, statsmodels pyDEA (for DEA)
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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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. 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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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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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