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, including exoplanet studies, machine learning, cutting-edge radio instrumentation and digital signal processing, citizen science, sky surveys, and studies of transient and variable objects. Listen is deeply
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
is available here: https://acrobat.adobe.com/id/urn:aaid:sc:VA6C2:b74beba8-716f-4ab4-b791-2fb6c087ca7f Job Requirements REQUIRED: Ph.D. in neuroscience, biomedical engineering, chemical engineering
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6 Mar 2026 Job Information Organisation/Company ETH Zürich Research Field Computer science » Other Engineering » Civil engineering Mathematics » Statistics Sociology » Urban sociology Technology
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Professor John Harlim and his collaborators, Yan Li in the Electrical Engineering department, and Daning Huang in the Aerospace Engineering department in the area of Scientific Machine Learning. The project
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psychoactive substances, in seized drug products or clinical samples. The candidate will have the opportunity to work directly with experimentalists to validate predictions made by their machine-learning models
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Project Overview We are hiring highly motivated and talented Postdoctoral Associates who are interested in advancing the state of the art in resource-efficient machine learning at the Singapore-MIT
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. Requirements: PhD completed less than 7 years ago in Computer Science or related areas; experience in machine learning and data science (supervised/unsupervised models, recommendation and evaluation/robustness
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participate in cross-disciplinary research and development projects related to learning engineering and AI in education, working with a team of postdoctoral researchers, PhD students, and Master’s/undergraduate
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Associate as part of Cornell’s Active Learning Initiative (https://teaching.cornell.edu/active-learning-initiative-0) for the AYs 2026 – 2028. We invite applications from candidates with a specialization in
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time off. To access this tool and learn more about the total value of your benefits, please click on the following link: https://resources.uta.edu/hr/services/records/compensation-tools.php CBC