459 machine-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" Postdoctoral positions
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Mathjobs.org | 18 days ago
mechanics, machine learning or applied/computational mathematics. ● Demonstrated ability to carry out original mathematical derivations and/or develop computational tools, evidenced by publications
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mechanics, machine learning or applied/computational mathematics. ● Demonstrated ability to carry out original mathematical derivations and/or develop computational tools, evidenced by publications
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Resources at 479.575.5351. Department: Post Docs, GAs and Hourly Employees Department's Website: https://engineering.uark.edu/ Summary of Job Duties: As a member of a multidisciplinary research team, the
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, machine learning, and statistical expertise. The position is funded by a grant from the NIH / NIAID (R01AI135114), though opportunities for additional projects in other areas are available according to
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simulations to investigate deformation mechanisms in FCC and BCC alloys. Develop a machine-learning based methodology to perform dislocation analysis from high energy X-ray diffraction patterns. Develop
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, Canada. Abundant Intelligences conceptualizes, designs, develops, and deploys Artificial Intelligence based on Indigenous Knowledge Systems. https://abundant-intelligences.net/ . The Toronto pod is
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of small-molecule drugs, nanomaterials/nanoplastics, and other environmental compounds to assess their potential impacts on human health and the environment using machine learning (ML), deep learning
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do this, the postdoctoral researcher will combine machine learning, molecular dynamics simulations and high performance computing (Isambard AI). Applicants must have a PhD in an appropriate area of
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complement existing financial risk models, that can be realised using cloud compute infrastructure and other novel deployment architectures. Given our team's existing research skillset in novel machine
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 25 days ago
project include (but are not limited to): Develop machine learning algorithms that utilize fire products from geostationary satellites to better represent fire evolution and variability Develop machine