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Field
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modeling on organizational data and data sets utilizing advanced statistical methods to mine and analyze complex and unstructured data sets. Offers complex analysis and utilizes advanced algorithms and
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to research and teaching in algorithms and computational complexity. While the focus of this appointment is algorithms and complexity, exceptional applicants from all areas of Computer Science will be
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analytics. The research assistant will develop real-time flight control algorithms, AI- based data processing, and mission management platforms, contributing to the deployment of smart UAV demonstrators under
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the capabilities of fully digital Large Intelligent Surfaces. Subject description The research subject for this position is development of distributed processing strategies and algorithms for Large Intelligent
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(MERCE). The main objective is to develop safe planning and reinforcement learning algorithms with various degrees of confidence for variants of Markov decision processes. More precisely, we will develop
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on developing and analyzing algorithms, building reproducible computational studies, and disseminating results in leading venues. The position collaborates with faculty, students, and external partners
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website: http://www.esa.int Field(s) of activity for the internship Topic of the internship: Algorithmic Optimisation of Stowage for a Cargo Return Vehicle You will help develop a numerical optimisation
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into autonomous platforms such as unmanned aerial, surface and underwater vehicles (UAVs/USVs/UUVs). Your work will span algorithm development, simulation, and embedded implementation, with opportunities
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benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: ● Research and develop novel reliable deep learning computer vision algorithms for the detection and quantification of GIM lesions
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 1 hour ago
opportunity? Please email npp@orau.org Qualifications Candidates should have demonstrated experience with: Developing space-based swarm/constellation optimization algorithms Extensive communications protocol