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University of California, San Diego | Estancia de San Diego, Guanajuato | Mexico | about 10 hours ago
Position overview Position title: Moore Postdoctoral Fellow Salary range: A reasonable salary range estimate for this position is $69,073 - $71,632. The posted UC academic salary scales ( https
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University of Oslo and UiT The Arctic University of Norway | Norway, Michigan | United States | about 13 hours ago
/61927781301 Application and more information: https://www.jobbnorge.no/en/available-jobs/job/303593/phd-fellowships-in-knowledge-driven-machine-learning-in-norway-8-positions Keywords: Bayesian
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-supervised machine learning methods for biological data where reliable labels are scarce, expensive, or impossible to obtain. The aim is to train models on synthetic data generated by biophysical
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Postdoctoral Fellowship program. https://academicjobsonline.org/ajo/UTokyo/KavliIPMU/PD2026 Kavli IPMU was established in 2007 as an international and interdisciplinary research institute, where
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an autonomous platform for developing and testing novel MOF materials for applications in carbon capture (https://doi.org/10.1016/j.xcrp.2022.101063). Successful candidates must have a background in
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scientific machine learning. More information about the department can be found at https://uwaterloo.ca/applied-mathematics/. Applications for these fellowships are through the website MathJobs.org
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, statistical mechanics and enhanced sampling, and machine learning for chemistry and materials science. For more information about the research agenda of ICC, see: https://www.simonsfoundation.org/flatiron
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related disciplines, including clinical research, biochemistry, molecular biology, protein engineering, computer science, artificial intelligence/machine learning, biophysics, nanotechnology, etc
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related disciplines, including clinical research, biochemistry, molecular biology, protein engineering, computer science, artificial intelligence/machine learning, biophysics, nanotechnology, etc
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a PhD student Our group and research You will join a dedicated research team focused on machine learning applications in crystallographic method development and applied structural science on