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Power BI Programming: R, Python, and/or SAS for Statistics Excellent communication skills Demonstrated successful experience working directly with people from diverse backgrounds, including cultural
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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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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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degree qualification: Graduate in Geology or equivalent Specific Requirements Professional with proven ability to handle geological data processing software (Stereo32, QGis) and Python programming, as
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degree or Master’s degree in Computer Science, Information Systems, Data Science, Artificial Intelligence, or a closely related field. Strong programming skills in Python, with experience in relevant
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of software and resource sharing in collaborative work. DATA EXTRACTION, PROCESSING, AND ANALYTICS This position will utilize data science and statistical software such as Python, R, and SAS, to analyze and
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allow you to develop competences in Analysis of population recordings (suite2p and python) Quantification of behavioural (DeepLabCut and python) Analysis of the MICrONS dataset ESSENTIAL REQUIREMENTS
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Benchmarking or deaR (DEA) lm / glm (regression) Python Libraries pandas, numpy, statsmodels pyDEA (for DEA)
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with statistical computation (e.g., R, Stata, or Python) and data management. PREFERRED: Bachelor's degree in social science, statistics, computer science, or a related field; familiarity with social
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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