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integrating distributed energy resources, demand response, and storage, this project aims to enhance grid flexibility and increase the use of renewable energy. Where to apply Website https://app.skeeled.com/s
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the school. The systems managed by our group often support high-profile projects. Responsibilities include: Deploy and manage Linux systems Develop shell and python scripts Configure, manage, and optimize job
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Department of Computer Science and the Data Science Institute. Learn more about the lab and its research here: https://nunez-comp-mental-health-cancer-care.github.io/ . RESPONSIBILITIES Reporting to Dr. John
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 7 days ago
website content. Programming and statistical analysis expertise: Proficiency with SAS, R, Python, SQL or similar programming and analysis tools for data preparation, error checking, modeling, validation
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Communicate project status, product requirements and write technical documentation KNOWLEDGE, SKILLS, AND ABILITIES REQUIRED: Proficiency in at least one modern programming language, e.g. Python, JavaScript
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, geosciences, mechanical/electrical engineering, or a related field Very good understanding of data analysis and/or machine learning Programming experience, ideally in Python and C (additional languages such as
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., GraphPad Prism, R, Python). Interest in pursuing graduate or professional training in biomedical sciences. Skills Communication. Collaboration. Interpersonal skills. Organization. Attention to detail
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expertise in analysing complex quantitative and computational data and/or rich qualitative data. • Proficiency or skills to learn a statistical software (e.g., R, Stata, Python). • Interest in contributing
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to the publication of the call for applications: https://seu.ub.edu/ofertaPublicaCategoriaPublic/listPublicacionsAmbCategoria?categoria.id=855899 Where to apply Website http://www.ub.edu/caiac/solBeca?idConvocatoria
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of tools such as R, Python, GIS, Git or similar data-science software. Solid experience with community data and biodiversity monitoring. A broad ecological background, ideally including plants and