664 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" uni jobs at University of Florida in United States
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collaborating with HOBI and AZC investigators and affiliated faculty/staff to build a portfolio of independent and collaborative research incorporating AI, machine learning and other informatics research
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and technical knowledge, a willingness to learn new software, and the ability to follow instructions are also essential. No sales, marketing, lobbying, or fundraising is involved with this position
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communication and interpersonal abilities, a clear speaking voice, and the capacity to adapt to various situations. Basic proficiency in computers and technical knowledge, a willingness to learn new software, and
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evaluating horticultural education program activities and events for the public and volunteers. Serve in a training role for volunteer leaders by providing them with program ideas and materials. Teach groups
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, and evaluate research findings of customer samples according to established facility standard operating procedures Scientific Writing and Dissemination Participate in scientific conferences to learn
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provider approved by National Association of Credential Evaluation Services (NACES), which can be found at http://www.naces.org/ . Health Assessment Required: Yes
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operations. May serve as on-call support as needed. Coordinates video conference sessions. Serves as a technical facilitator for video conference sessions ensuring equipment and space is prepared for learning
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the ability to work effectively with students, faculty, administrators, and program partners Strong computer skills, including the ability to learn and use student information systems and databases Ability
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impact career outcomes at UF. Leads projects to gather data related to learning inside and outside of the classroom for analysis and interpretation related to career design, experiential learning
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for accelerating research; (2) developing and validating a variety of machine learning/deep learning models with heterogenous cell and tissue imaging data. They will ensure data and model quality, integrity, and