33 machine-learning-"https:" "https:" "https:" "https:" "U.S" Fellowship research jobs
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 23 hours ago
intelligence/machine learning (AI/ML) and pharmacokinetic/pharmacodynamic (PK/PD) models that reduce reliance on animal testing and enable the quantitative evaluation of safety and efficacy for antibody and mRNA
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the school. Fellows will teach one studio and two elective courses over two semesters that focus on the Fellow's research project. The combined research and teaching will culminate in a public lecture and
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an accessible, quality education through flexible learning and unparalleled internship opportunities. At UA Little Rock, we prepare our more than 8,900 students to be innovators and responsible leaders in
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Apply Now How to Apply To be considered for this position, applicants should submit their materials to Interfolio https://apply.interfolio.com/179185 Cover letter (1-2 pages) which includes a
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§ Experience in the collection and processing of TEM/STEM data § Computer programming for custom data processing § Strong oral and written communication skills. Application Instructions Please upload
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Number U250093 Posting Link https://www.ubjobs.buffalo.edu/postings/59894 Employer University Affiliates Appointment Term Position Type Posting Detail Information Position Summary This is a NIH, NLM T15
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, advertising, marketing, public relations, and broadcasting. Central has been a pioneer in extended learning for nearly 50 years, and its online programs for undergraduates and the military, as well as its
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, computational social science, and/or machine learning applications. Acquisition, processing, and analysis of remote sensing imagery. Proficiency with GIS methods, applications, and visualization. Prior experience
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undergraduate or graduate students on research projects Proficiency in advanced statistical modeling, including structural equation modeling, longitudinal analysis, network analysis, or machine-learning
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advanced artificial intelligence / machine learning (AI/ML) solutions for fusion science and operations. Building and applying foundation models and surrogate models to speed analysis and optimize