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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 4 hours ago
, unless they are Legal Permanent Residents of the United States. A complete list of Designated Countries can be found at: https://www.nasa.gov/oiir/export-control . Eligibility is currently open to: U.S
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, “Time-Varying Operator-Theoretic Framework for Tipping Point Prediction” (PI: Prof. Sho Shirasaka) in the JST PRESTO research area “Exploration of New Science Using Mathematics to Predict and Control
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to apply Website https://www.academictransfer.com/en/jobs/357797/post-doc-opening-predictive-con… Requirements Specific Requirements Required Qualifications: PhD in Robotics, Control, Mechanical Engineering
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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . The research associate will focus on Vision-Language Model based situation awareness and decision-making
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workflows for satellite-data access, preprocessing, quality control, and information extraction for ML-based prediction systems. The position is part of Polhavet 2050 (Arctic Ocean 2050), a national 10-year
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scientific project NALUNG at Rīga Stradiņš University. “The NALUNG (Multi-Omics Analysis for Predicting Response and Adverse Events to Neoadjuvant (NA) Treatment in Re-sectable Non-Small Cell Lung Cancer
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Details The aim of this project is to combine nanomechanical methods with modelling (i) to develop quantitative, predictive models for the behaviour of molecules in sliding contacts, and (ii) to understand
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. The work is part of the regional project “Optimizing Renewable Energy Integration: FPGA-Based Model Predictive Control (MPC) for Grid Stability” (Ref. SI4/PJI/2024-00238) Where to apply Website https
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University of Bologna. Open PhD Position Integrated 6G Localization, Sensing, Communications and Control Program: PhD in Electrical, Electronic, and Information Engineering (ETIT), University of Bologna (UNIBO
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predictive accuracy and prohibitively long computational times, making them unsuitable for real-time process control. Artificial intelligence (AI) models present a promising alternative by addressing