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models, molecular modeling and simulations, and/or polymer science are preferred but not required. Strong past experience in scientific machine learning. Terms of Appointment: This is a full-time, one-year
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machine learning approaches where applicable. Provides feedback and guidance to wet-lab scientists on experimental design. Summarizes research findings and publish results in research journals. Assist with
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analysis and visualization, signal processing, and ideally machine learning. • Working knowledge of Distributed Acoustic Sensing (DAS) and its applications in seismology (appreciated). • Aptitude
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shoulders up to 25 pounds. Standing and sitting at computer terminals and laboratory bench completing repetitive tasks for extensive periods of time. Continuous working with materials requiring personal
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Inria, the French national research institute for the digital sciences | Bures sur Yvette, le de France | France | about 1 month ago
mathematical modeling (preferably physiological systems) and/or control theory. -Experience in signal processing and artificial intelligence methods (time-series analysis, machine learning, multimodal
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National Aeronautics and Space Administration (NASA) | New York City, New York | United States | 24 days ago
, machine learning and statistical methods to elevate impacts research. There is also opportunity to work at the nexus of water and agriculture, as well as in risk management for suburban landscapes. Location
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teach at the University of Vienna, where over 7,500 brilliant minds have found a unique balance of freedom and support. Join us if you’re passionate about groundbreaking international research and
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, including in computational tasks where data visualization, preprocessing, or interpretation can be improved. Devises and deploys custom machine learning approaches where applicable. Provides feedback and
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, you will contribute to research-based teaching and the supervision of student projects. Skills in mathematical modelling and machine learning of relevant physical glacier processes (ice sheet and
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ecological momentary assessment, smartphone-based tracking, or screenshot capture methods. - Experience applying machine learning techniques to a variety of data types such as with time-series data or image