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collaborative research in electromagnetic sensor systems, including theoretical analysis, numerical modeling, AI-assisted sensing algorithm development, and experimental validation Qualifications: An earned PhD
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system that integrates EEG, camera footage, and physiological signals; (b) develop and implement algorithms for signal processing and user intent decoding; (c) work with a Generative AI (GenAI
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information theory: designing and analysing error-correcting codes, establishing fundamental performance limits, and building practical decoding algorithms and architectures. Your research will sit at
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and build a light-sheet encoded-illumination microscope Characterize the system Sample Chamber Development Development of Decoding Algorithms Single-Plane SR Imaging Volumetric Imaging of selected
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orchestration across different network components, as well as to the development of sensing algorithms and ISAC solutions. The postdoctoral researcher will also play an active role in coordinating research
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, including diffusion models and reinforcement learning, for navigation decision-making, trajectory generation and adaptive robot behavior. Key Responsibilities: Design and develop navigation algorithms
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, operational, and societal constraints. The postdoc will work at the interface of reinforcement learning and computational epidemiology, focusing on the development of new reinforcement learning algorithms
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Overview We are seeking an experienced researcher to lead the development of decentralised swarm mapping and localisation algorithms for underground pipe operations as part of an international
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Systems via Proof Certificates, and focus on the design, development, and application of Safe RL algorithms as well as their verification via Proof Certificates, including monitoring and shielding of cyber
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holder will benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: - Study the main exact subgraph counting algorithms identified in the survey (e.g., ESU/FANMOD, Kavosh, GTrie, FaSE, ORCA