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Field
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
to develop machine learning-enabled approaches for predictive modelling and state estimation for fundamental applications within physical sciences. Your role The main research responsibilities involve building
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of Stony Brook University. BSA salutes our veterans and active military members with careers that leverage the skills and unique experience they gained while serving our country, learn more at BNL
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Qualifications: Experience with development of R packages or other software Minimum 1-year experience in machine learning methods Knowledge, Skills and Abilities: Excellent communication skills (written and oral
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maintain end-to-end EO data processing pipelines, from sensor calibration to the extraction of geophysical variables. Implement machine learning and image processing techniques to fuse optical and SAR data
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Biology is looking for a highly motivated and independent individual to work as a Postdoctoral Associate. This position is for a post-PhD trainee preparing for a research scientist career path. The planned
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programs Posting Summary The Guzmán-Vélez Lab at Rutgers University (PI: Edmarie Guzmán-Vélez, PhD) is seeking a highly motivated Postdoctoral Associate to join a multidisciplinary research program focused
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a U.S. veteran, service in the U.S. military, sexual orientation, gender identity, or associational preferences. Education Requirement: Education Requirements: A PhD in Educational Measurement and
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Education: PhD in Artificial Intelligence, Bioinformatics, Computer Science, Physics, Engineering, or a related field. Programming: Proficient in Python. Machine Learning: Strong experience with frameworks
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/performance trade-offs and typical RAN levers; experience with energy metering data is a plus. • Strong background in AI / Machine Learning for decision-making (e.g., forecasting, optimization with learning
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experience in scientific programming is a plus. • Experience in constructing Machine Learning potentials would be appreciated. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR5254