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? No Offer Description The research assistant will be responsible for analyzing mathematical models and algorithms for tracking gas composition in CO₂ pipeline transport systems, as well as for detecting
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optimisation, algorithm design and high-performance computing, with application to airport innovation. Successful candidates will join an active group of Principal Investigators and researchers to work within
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guidance, navigation, and control (GNC) systems. The successful candidate will develop and validate Bayesian and non-Gaussian estimation algorithms, data assimilation methods, and tracking frameworks
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algorithms and system frameworks that optimize cost, performance, and scalability. The role focuses on leveraging machine learning and reinforcement learning to enhance storage and service efficiency under
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approach makes it easier to identify different local optima using sampling mechanisms. In stochastic optimization, distribution estimation algorithms (EDA) are an alternative approach to traditional
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digitization of object geometries, surface characteristics, and material properties. While conventional pipelines rely on generalized camera models, standard calibration targets, and associated algorithms, our
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) to develop accelerated AI, machine learning, and robotics algorithms with a strong focus on computational efficiency, memory reduction, and energy-aware deployment. The role targets foundation models
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The goal is to develop and test algorithms and control strategies
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at the Department of Technology Systems (ITS). The person hired in the position will work on theoretical algorithms for robust multiagent system coordination, and deploy these algorithms on a state-of-the art swarm
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Assistant Professor - Full-Time SCI-Computer Science - Pennsylvania-Pittsburgh - (25006623) Tenure-Stream Assistant Professor for Quantum Algorithms As the University of Pittsburgh’s newest school