2,419 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" "UCL" "UCL" Postdoctoral positions in United States
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Lab (https://pwrlab.org/ ) at the University of California San Diego is seeking a highly motivated Postdoctoral Research Scholar to contribute to a two-year project focused on helping Southeast and
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cell culture and basic molecular biology techniques including cloning, qPCR, RT-qPCR, cloning, fluorescence microscopy, flow cytometry, and Southern and Western blotting Computer proficiency in Microsoft
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The High Meadows Environmental Institute (HMEI), (https://environment.princeton.edu/) invites applications for postdoctoral research associates and more senior research positions focusing
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clinical and research fellowships. Learn more: https://psychiatry.uw.edu/ Salary The base salary range for someone with a PhD/PsyD for a Research Assistant Professor position will be $9,167 - $10,417 monthly
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biophysics -experimental and/or computational genomics -computer science, statistics, and/or machine learning with applications relevant to genomics -bioinformatics -population genetics / genomics
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and machine learning with Prof. Jason M. Klusowski (https://klusowski.princeton.edu). The position is for one year with the possibility of reappointment based on satisfactory performance and
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state agencies, and other universities. Consisting of 10-15 employees including faculty, undergraduate, and graduate students, the Lab prides itself on providing experiential learning opportunities
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Associate positions will conduct research with only general guidance from the PI. Postdoctoral Scholars will conduct research under the direction of a faculty member to acquire research training. In
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Programming experience (e.g., R, Python) and interest in machine learning approaches Doctoral degree (PhD or equivalent) in Education, Psychology, or a closely related field by the start date Knowledge, Skills
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novel machine learning models—including Physics-Informed Neural Networks (PINNs), variational autoencoders, and geometric deep learning—to fuse multimodal data from diverse experimental probes like Bragg