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Field
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, operational, and societal constraints. The postdoc will work at the interface of reinforcement learning and computational epidemiology, focusing on the development of new reinforcement learning algorithms
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members Sriram Pemmaraju and Sourya Roy on sampling problems in the distributed and parallel computing setting. The ideal candidate will have research experience in sampling algorithms and related areas
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 22 days ago
. Recent updates to QFED include integration of fire products from new sensors (VIIRS), and a new multispectral approach for retrieving fire radiative power (FRP) for two phases of burning: flaming and
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are conducted in an international and multidisciplinary environment, bringing together expertise from across Europe in electrochemistry, energy storage, power electronics, process engineering, smart sensors, IoT
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layers. Within this environment, we will design and evaluate new reinforcement learning algorithms capable of operating in large, partially observed spatial domains to infer efficient, interpretable
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Heidelberg Institute for Theoretical Studies (HITS gGmbH) | Heidelberg, Baden W rttemberg | Germany | 3 days ago
simulations across scales: From molecules to stars Making sense of data: From words to weather Enabling the future of reproducible, data intensive research: From algorithms to knowledge discovery What we offer
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in social media, algorithm design, and interventions to support well-being 40% Leading the system development and implementation of the mobile app 20% Dissemination via articles, conference
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sensors, RGB/IR cameras, video systems, insect traps, and other devices to build predictive, AI- and machine-learning based models for monitoring grain quality and detecting deterioration due to mold
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to make completely sustainable and future-proof. At the same time, we are developing the chips and sensors of the future, whilst also setting the foundations for the software technologies to run on this new
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, signal processing, sensor fusion, machine learning, and data-driven modeling, with the broader goal of advancing human-centered intelligent infrastructure, smart cities, and resilient communities