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Field
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meetings. Contribute to high-quality outputs, including research publications, project reports, and grant deliverables. Advanced AI Algorithm & LLM Application Development Implement advanced techniques
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to research, develop, and evaluate algorithms for a variety of geospatial, signal, and/or image processing applications. The successful candidate will have a solid background in computer science with strong
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. Examples of research might include (but are in no way limited to) understanding the impact of algorithmic recommendations on political discourse; exploring how AI and machine learning can support new models
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, operating systems, programming languages, formal methods, real-time systems, security and cryptography, and theory of computation and algorithms. In addition, members of the Department collaborate closely
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EUMETSAT - European Organisation for the Exploitation of Meteorological Satellites | Darmstadt, Hessen | Germany | about 8 hours ago
; Lead the functional analysis, the definition, the prototyping and the scientific evaluation of algorithms used in the level-1 and level-2 processing chains for current and future EUMETSAT satellite
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models, signal processing methods, artificial intelligence (AI) tools, and optimization algorithms grounded in electromagnetic (EM) principles. The project is inherently interdisciplinary, bridging
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Engineers. Serve as liaison with Princeton Research Computing staff on GPU cluster related issues. Professional Development Learn the underlying science, mathematics, statistics, data analysis, and algorithms
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computational cognition. The successful candidate will work at the intersection of AI research, cognitive modelling, and human–machine interaction, contributing to the design of algorithms that incorporate
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of projects. Key Responsibilities: Review the literature related to UAV communications and networking Develop new AI algorithms for UAV networking and management Implement and test the algorithms under
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Intelligence, including but not limited to Machine Learning, Responsible AI, and Computer Vision; Theoretical Computer Science, including Algorithms, Algorithmic Fairness, Game Theory, and Learning Theory