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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month 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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Technical skills You must be able to program in python, R or a similar language Competences You have highly developed organization skills You have good communication skills The Offer – Working Conditions
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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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California State University, San Bernardino | San Bernardino, California | United States | about 19 hours ago
. MINIMUM QUALIFICATIONS Must be a current CSUSB graduate student in Computer Science, Computer Engineering, or a closely related field. Minimum GPA: 3.0 Strong programming ability (e.g., Python, C++, or Java
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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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Employee discounts programs For detailed information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits/benefits-overview . Posting Summary The Library and Information Science (LIS
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Employee discounts programs For detailed information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits/benefits-overview . Posting Summary The Library and Information Science (LIS
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" team led by Jean-Luc Gennisson, a team of 25 permanent people positions and 20 students. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR9011-JEAGEN-005/Candidater.aspx Requirements
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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