217 data-"https:" "https:" "https:" "https:" "https:" positions at Michigan State University in United States
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interpretation and problem-solving to streamline processes. Maintain confidentiality and exercise sound judgment in handling sensitive information while ensuring efficient office operations. Coordinate student and
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applications for a highly motivated Postdoctoral Research Associate in the area of Watershed Modeling and Data Analytics. This position is part of MSU’s Agricultural Climate Resiliency Project(https
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. Students work in teams of 4–5 to design and execute research projects for real clients, developing skills in problem definition, research design, data collection, analysis, and presentation. The first half
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, execution, and troubleshooting of experiments and protocols; keeping detailed and accurate laboratory records, including protocols and databases; assisting with data entry and preliminary analysis of results
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Position Summary The Plant Resilience Institute (PRI) at Michigan State University is seeking a highly motivated and interdisciplinary postdoctoral researcher with strong computational and data
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wounds, recommends prescriptions of non-controlled substance medications, writes nursing orders and performs other duties related to patient care. Analyzes physical histories, laboratory data and x-ray
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customer service through multiple systems; handle inbound calls and callback requests, accurately document interactions, protect confidential information, and apply sound judgment; utilize systems such as
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wounds, recommends prescriptions of non-controlled substance medications, writes nursing orders and performs other duties related to patient care. Analyzes physical histories, laboratory data and x-ray
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. The successful candidate will play a central role in ensuring smooth coordination between field and laboratory efforts, contributing to impactful research outcomes that directly benefit Michigan growers. https
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imaging analysis, AI/ML development, omics technology development, biomedical data integration and mining, translational bioinformatics, computational medicine, statistics/biostatistics, mathematics, data