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to environmental stimuli, from decision-making to motor coordination. He/she will develop analyses and computational models to explain existing datasets and extract the algorithms underlying responses to visual and
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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . We are looking for a Research Fellow in Multi-Agent Path Planning for Autonomous Drone Operations to develop
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where the research work leading to the PhD degree was developed; c) The total duration of the fellowship contract, including any possible renewals, must not exceed a cumulative period of three years under
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Rossier RG at INL. Job Duties The job duties will be the following: Analog quantum algorithms for quantum search and optimisation based on quantum Hamiltonian evolution. Quantum algorithms for simulation
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will develop an ecosystem of two interfaces: a web-based remote access interface for out-ofclass interaction with the emulated grid and a classroom-oriented live demonstration interface for real-time
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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee We are looking for a Research Fellow to develop
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Associate to join the Parallel Systems Lab (https://psl-ntu.github.io ) at NTU’s CCDS. The role focuses on designing, developing, and evaluating efficient, scalable systems for modern multi-agent HPC-AI
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system. Develops and integrates operational ontologies, mathematical algorithms, dynamic and control algorithms, and advanced systems engineering approaches in support of digital engineering and digital
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 8 days ago
addressing this question by developing advanced algorithms to derive aerosol properties from satellite limb sensors operating in the UV, VIS, and NIR ranges. This work will also involve analyzing aerosol
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logistics. The research activity will develop models and algorithms that exploit communication infrastructure and data availability, enabling the optimization of the required resources. In the case