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to help drive policy, system, and environmental (PSE) changes. Ensure multi-sectoral collaborations have access to the resources and data they need to address the underlying root causes of health inequity
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implementation) required. Knowledge, Skills & Abilities: Knowledge of current computer languages and their respective programming techniques Proficient with linkage/merging large health/clinical databases Ability
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manage the day-to-day operations of the laboratory, train and assist students and staff, supervise hourly personnel, and manage a large portfolio of greenhouse, field, and laboratory experiments. Specific
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Python AND R Experience with Linear Mixed Models Experience with Artificial Intelligence Expertise working in Big Data Familiarity with LaTeX Experience with agricultural and plant breeding data Additional
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learning (ML) models on datasets; Ability to lead a large team of data engineers (5+ members); Expert proficiency level with Kafka and MongoDB for NoSQL storage across Kubernetes clusters; Expert proficiency
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and in writing to individuals and large groups. Proficient in the use of computer software and applications, such as but not limited to, Microsoft Word, Excel, PowerPoint, Outlook, and Access. Knowledge
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rooms and equipment for three computer labs and one large classroom • Assist with college website as directed • Perform periodic reviews of websites to ensure connectivity of links and relevancy
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or other relevant experience in a large data network environment with four years specifically in two of the following: Network Engineering Equipment support (Arista, Aruba Networks, Brocade, Cisco, Juniper
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: Minimum Qualifications: Discipline-related Master's degree from an AACSB-accredited business school C-Level or Senior Executive Experience with Large Firm environments or equivalent Evidence of strong
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, ensuring sub-second response times and efficient concurrency with goroutines. Migrated large amounts of data from legacy databases to MongoDB to achieve sub-second access latencies and optimize storage