185 machine-learning "https:" "https:" "https:" "https:" "https:" "U.S" research jobs in United States
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Department: SOM Wichita Internal Medicine (IM) ----- Internal Medicine Position Title: Research Fellow Job Family Group: Professional Staff Job Description Summary: Train and learn under
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or more projects, learning advanced cellular and molecular biology and anaerobic microbiology techniques. The candidate’s day will be split between benchwork to generate data, and computer work to generate
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decision-making, and join a vibrant AI research community at the University of Texas at Austin, become members of The University of Texas at Austin’s Machine Learning Laboratory (https://ml.utexas.edu
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crane. The successful candidate will build reproducible machine learning pipelines, integrate detections into spatial ecological models, and generate conservation-relevant outputs for regional partners
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must have the following essential skills: Strong background in plant breeding and genetics Strong computer skills and proficiency in R or other programming languages Outstanding interpersonal and
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the world • More research funding than all public universities in Oregon combined • 1 of 3 land, sea, space and sun grant universities in the U.S. • 2 campuses, 11 colleges, 12 experiment stations, and
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 1 month ago
to constrain the representation of aerosols in the NASA GEOS Earth System Model. Activities that would be involved in this project include (but are not limited to): Implement machine learning transfer learning
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a U.S. veteran, service in the U.S. military, sexual orientation, gender identity, or associational preferences. Education Requirement: Education Requirements: A PhD in Educational Measurement and
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to apply theoretical knowledge of science principles to problem solve work. Ability to maintain detailed records of experiments and outcomes. General computer skills and ability to quickly learn and master
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, machine learning, and plant genomics. Our lab seeks to explore and understand the regulatory network of plant genes, their regulation in response to environmental stress at the single-cell level, and the