367 machine-learning "https:" "https:" "https:" "https:" "https:" Fellowship research jobs
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days 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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University of California, Los Angeles | Los Angeles, California | United States | about 21 hours ago
overview Position title: Abdominal Imaging Fellow/Health Sciences Clinical Instructor Salary range: The posted UC salary scales (https://www.ucop.edu/academic-personnel-programs/compensation/index.html ) set
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publications in high-impact venues. Experience with machine learning frameworks (e.g., PyTorch, JAX) and / or computational materials methods is essential. Additionally, the candidate should possess an excellent
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transport calculations and programming. Expertise in quantum transport and using machine learning algorithms for first principle calculations will be distinct advantage. You should be able to work
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research applications for projects thematically connected to existing research projects and initiatives at NYUAD's divisions of Arts & Humanities and Social Sciences (see https://nyuad.nyu.edu/en
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team. Learn more about the innovative work led by Dr. Don Ingber here: https://wyss.harvard.edu/technology/erapid-multiplexed-electrochemical-sensors-for-fast-accurate-portable-diagnostics/. What you’ll
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Are you ready to take your research career to the next level? The Biopolymer NMR Group (https://folk.ntnu.no/aachmann/ ) is looking for a candidate to be hired for a least three-year postdoctoral position
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(e.g., Docker, Kubernetes, cloud/edge environments). Demonstrated expertise in AI, distributed computing, machine learning, or systems software design. Strong background in software engineering
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for developing machine learning models for the automatic identification of species from images collected through electronic monitoring systems (Work Package 3 – Bycatch Monitoring). The candidate will be involved
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research and recent publications, see the Geometric Machine Learning Group’s website: https://weber.seas.harvard.edu/ . For questions, please email mweber@seas.harvard.edu Applications will be reviewed on a