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lightweight to heavyweight) based on real-time constraints (e.g., battery level, network latency, device memory) [10, 11]. • Federated Learning: Study federated learning(FL) as a means to distribute AI
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estimation, calibration, and out-of-distribution detection. The PhD candidate will work on novel algorithms, theoretical insights, and large-scale empirical evaluations, with a strong emphasis on
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); Agentic AI: Exploring multi-agent systems and their dynamics; Explainable AI: With a particular emphasis on mechanistic interpretability. Invent, evaluate, and publish novel algorithms, aiming
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DC-26094– POSTDOC/DATA SCIENTIST – AI-DRIVEN CLIMATE RISK MODELLING AND EARLY WARNING SYSTEMS FOR...
applicant will contribute to the AIGLE project by: · Developing innovative scientific Deep Learning/Machine Learning algorithms for flash flood forecasting. · Contributing to the collection
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, Automation, Electrical Engineering, or related fields. Solid background in robotics algorithms: SLAM, motion planning, reinforcement learning, multimodal fusion, distributed control, embedded systems
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Communication Solutions, IoT verticals, Unmanned Aerial Vehicles, Integrated Satellite-Space-Terrestrial Networks, Quantum Communications and Key Distribution, Spectrum Management and Coexistence, Tactile
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· Computer Science (System, Computing Theory, Algorithms) · Rank: Associate professor or Assistant professor 2. Energy AI · Artificial Intelligence, Data Science · Rank: Associate professor or Assistant professor 3
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the display and the distribution of processed data. Related projects and responsibilities will include: Creation of artificial intelligence algorithms that effectively integrate molecular, pathology/image, and
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dedicated to developing and exploring immersive experiences, novel context-aware applications, and distributed virtual environments. The lab's research focuses on immersion, interactivity, collaboration
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collaboration by proposing an original hybrid rule-driven/data driven approach to artificial intelligence and by studying efficient optimization algorithms. The team focus on robotic applications like environment