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responsible for packing promotional gardening materials, germinating seeds, taking care of the greenhouse, planting seedlings in the field and distributing the seedlings to the community gardeners. The student
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attendees, running errands, setting up displays, distributing materials, operating audio/visual equipment, arranging meeting spaces. 2. Perform data entry, analyze data, and create reports. 3. Perform
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
of models and observational data using Python, Matlab, R, etc. Expertise required in developing new models, algorithms for dispersion, gas-phase chemistry and/or aerosol microphysics model Preferred
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laboratory practice including the maintenance of adequate research records. Engages in open and timely discussion with their mentor regarding possession or distribution of material, reagents, or records
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distribution system. Qualifications & Requirements: MS in Mechanical Engineering. BACKGROUND CHECKS/CLEARANCES Employment with the University will require successful completion of background check(s) in
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spatial analysis of species distribution data, and quantification of ecosystem services. Preference will be given to applicants that possess a diverse set of skills and can contribute to more than one
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of algorithms Ability to design, implement, and execute empirical studies, General fluency in machine learning methodology, Joining the CMU team opens the door to an array of exceptional benefits, available
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progress in machine learning and artificial intelligence, the successful candidate will have primary responsibility to develop, implement, and test multimodal machine learning algorithms to analyze and
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position to develop and apply advanced analysis methods, including artificial intelligence and machine learning algorithms and approaches, for x-ray science and instruments. These methods will accelerate
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external) provides algorithmic and data-driven solutions providing fairer access to public educational resources. The lab enables school districts to optimize large-scale equitable resource allocation