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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 10 days ago
include: 1. Designing and implementing software components, data structures, algorithms, APIs, and research workflows using Python and related technologies. 2. Developing and operating containerized
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; Knowledge of TDOA-based localization, multilateration, or positioning systems; Experience with Kalman filters, nonlinear optimization methods, or target tracking algorithms; Knowledge of distributed
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assessment, and hydrographic research. This role translates research algorithms into reliable, documented, and reproducible production software; collaborates with scientists, engineers, students, and external
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essential for learning complex distributions over structured data such as text, graphs, and biological sequences. Developing and understanding models for dis- crete spaces is therefore a key challenge in
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to support dynamic digital twin simulations. Multimodal Data & Sensor Fusion: Implement or accelerate processing and inference algorithms for real-time multimodal data, natural language, signal, and image
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environments. Clean public repositories or released source code from past publications is a strong plus. Algorithmic Breadth: Familiarity with probabilistic machine learning, distributional reinforcement
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! This unique research opportunity revolves around the physics of distributed robotic systems, mechanical metamaterials, active matter, and embodied intelligence, combining table-top experiments and
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) for GNSS-R and Signals of Opportunity (SoOP). Satellite scheduling (Tasking): Implement centralized (MILP) and decentralized (CBBA) scheduling algorithms. System optimization: Perform multi-objective
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of spectrum sensing and DoA algorithms on RFSoC platformsIntegration and validation within the DRONE-SENSE platform Responsibilities: Design and implement distributed passive RF sensing nodes using RFSoC
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award at FOCS 2019. These positions are supported by an ERC Advanced Grant (Distributed Quantum Advantage , 2026–2031) and a QuantERA grant (Quantum Network Algorithms , 2026–2029); in the QuantERA