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including use of simple to complex statistical analysis . •Compose and write scientific publications, progress and annual/final reports for grants. •Supervise undergraduate and/or graduate students and other
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to analyze complex datasets and synthesize multidisciplinary information. Strong quantitative and statistical skills. Proficiency in R or similar statistical software. Excellent written and verbal
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faculty in biological disciplines across the university and provides ample opportunities for networking and collaboration. The successful candidate will be expected to work on campus in person
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workflows between field acquisition teams, data center staff, and research collaborators to ensure seamless data transfer and integration. -Support daily operations of servers, networks, storage, and cloud
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writing and verbal communication skills Ability to manage complex projects Ability to multitask and work cooperatively with others Preferred Knowledge, Skills and Abilities: Ability to interact and
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with others. Preferred Knowledge, Skills, and Abilities: Ability to develop and use ethograms for behavioral data collection Proficiency in social network analysis All positions are security-sensitive
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sciences. • Data analysis expertise – demonstrated ability to compile, manage, and analyze complex, multi-site datasets using advanced statistical and modeling approaches. Applications will be reviewed on a
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technologies, including big data analytics, artificial intelligence (AI), remote data transfer, and cloud computing to help solve complex agricultural problems. -The candidate will work on the synthesis
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data. -Ability to lead interdisciplinary teams and manage complex research projects effectively; ability to work collaboratively with both junior and senior researchers, professionals, volunteers
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dive deeper into viral research and host-pathogen interactions. -Experience with cryo-EM is a plus, but not a requirement. -Strong work ethic, curiosity, and an open-minded approach to tackling complex