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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 17 days ago
Health Workforce Research Center, and Behavioral Health Workforce Research Center. The Data Analyst will * Perform data cleaning and statistical analysis using SAS, Stata, R, Python, and SQL. * Perform
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Infrastructure? No Offer Description The Centre for Lithospheric Research (https://clr.geology.cz/ ) was established in 2012 within the Czech Geological Survey on the basis of an initiative by the Czech government
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Responsibilities Work closely with the PI, Co-PI, and research team to ensure timely completion of all project deliverables. Implement and enhance GeoTOPSIS/VectorMCDA algorithms within QGIS using Python
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analytical teams and complex projects Demonstrated expertise in enrollment financial modeling and revenue forecasting in higher education settings Technical Competencies Advanced proficiency in Python, SQL
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proficiency in R, Python, and ArcGIS Knowledge of forest and peatland biodiversity Good command of written and spoken English The ideal candidate is proactive, committed, and efficient. You should be in
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Master’s degree is preferred; however, the minimum requirement is a Bachelor’s degree in physics, computer science, or a related discipline. The role requires strong programming skills in Python, competency
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of the project (patents, communications, outreach). Conducting in vivo optical imaging experiments on healthy and patient volunteers; Developing image-analysis pipelines (Python, MATLAB) and modeling functional
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sampling strategies in Python and C++ Apply your framework to analyse real biological datasets to demonstrate robustness, interpretability, and practical impact Contribute to open-source software tools
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FieldEngineeringEducation LevelMaster Degree or equivalent Skills/Qualifications Conocimientos de sistemas LLM y GenAI. Evaluación de modelos. Programación en Python. Specific Requirements Programación en Python. Diseño y
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sources. Specifically, you will be working in Python: • Characterization of the technical aspects of energy storage from marine renewable energy sources. • Characterization of energy storage potential and