2,343 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" "UCL" Postdoctoral research jobs in United States
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will have an opportunity to learn or become more proficient in the techniques used in the lab, including lung organoids, precision cut lung slices, transgenic rodent models, preclinical models of lung
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. This is a full-time, in-person position based in South Bend, Indiana. The twelve-month annual salary is commensurate with NIH postdoctoral salary guidelines (https://www.niaid.nih.gov/grants-contracts
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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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protected by applicable law. Please visit the EOC website to learn more. We are not accepting applications for this job through MathJobs.Org right now. Please apply at https://www.auemployment.com/postings
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computer sciences, and other technical and non-technical fields. Additional qualifications (required at time of start) Applicants are required to hold a Ph.D. or received a Ph.D. degree by the start of
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-Schools/college-of-arts-sciences/chemistry ; and about the ERC EARTH please go to the website at https://erc-earth.ku.edu . Posting Date 03/23/2026 Closing Date Open Until Filled Yes First Consideration
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 16 hours ago
professionals and biomedical researchers from all backgrounds by facilitating learning within innovative and integrated curricula and team-oriented interprofessional education to ensure a highly skilled workforce
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, insect herbivores, and natural history is desired. Supervision Exercised May supervise undergraduate researchers. To apply: Please apply via Academic Jobs Online https://academicjobsonline.org/ajo/jobs
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to Academic Jobs Online: https://academicjobsonline.org/ajo/jobs/31723 . Candidates should also include the names and contact information for three individuals who would be willing to provide letters
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Remote Sensing; Machine Learning Models for Predicting Wildfire Spread; Wildfire Risk Assessment Through Multi-Modal Data Integration; Automated Vegetation and Fuel Load Mapping Using Computer Vision; AI