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compressed sensing et la capacité à optimiser des algorithmes pour des applications temps réel, qui seront également valoriséesThe candidate should have: - A strong background in applied mathematics, including
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process. The software will be based on cutting-edge generative neural networks, spefically the Generative Flow Network (GFlowNet) algorithm. We plan to further enhance this algorithm to consider the shape
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research programme in probabilistic AI. The hub will develop the next generation of mathematically principled, scalable and uncertainty-aware AI algorithms. This will be achieved through: bringing together
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including language understanding, generation, explainability and reasoning, and dialogue systems. Efficient algorithm development for air traffic conflict resolution. Develop and evaluate AI models, including
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PI for continued support. Develops new code/algorithms for data analysis. Collaborating with other scientists/faculty and co-mentoring graduate students as needed. Qualifications Ph.D. in Atmospheric
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of computer science represented at the department (algorithms, networks, software engineering, AI, data science) Experience of working in highly interdisciplinary environments Experience in designing
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An understanding of optimization methods, either as applied to structural optimization problems or the underlying principles and algorithms for convex/integer programming. Essential Application/Interview The ability
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circuit boards and solder components. Perform programming of PLCs, single-board computers and microcontrollers. Integrate sensors and actuators with control algorithms to implement a control system. Send
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and algorithms for event-based fusion of two physically-colocalized event-based and depth vision sensors, simulate and analyse these models, and explore possibilities to realize them in CMOS ASICs
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properties are optimized by machine learning algorithms to retrieve properties of reference flames gathered in a learning base. A virtual scheme consists of a main block that models the heat release from