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records. Responsibilities: Conduct research on large language models and robot learning algorithms in a shared control loop for mobile manipulators. Follows research plans in order to collect, record, and
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effectiveness of battery recycling workflows, supporting experimental and simulation studies across the battery lifecycle, and implementing algorithms for process monitoring and optimization so that recycling
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Optimisation methods, such as mixed integer linear programming, have been very successful at decision-making for more than 50 years. Optimisation algorithms support basically every industry behind
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will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and
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Fields Institute Program ID: FIELDS-GRADQUANTUMALGORITHMS [#27997] Program Title: Grad Students - Long Term Visitors (4-6 months) for the Thematic Program on Quantum Algorithms for Differential
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contexts. Functions to be developed: Design, carry out theoretical analysis and experimental evaluation of graph protection algorithms, with the aim of guaranteeing properties such as privacy, security
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remote sensing approaches using ocean-color and thermal-infrared satellite observations to study marine organosulfur compounds and ocean–atmosphere interactions. Key research activities include algorithm
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Anomaly detection is an important task in data mining. Traditionally most of the anomaly detection algorithms have been designed for ‘static’ datasets, in which all the observations are available
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simulation tools in python to develop innovative algorithms, then conduct tests on the THD2 testbed to validate the algorithm's performance under realistic conditions, and finaly participate in observing runs
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Solution project " ASMADI - AI based Spectrum Monitoring for Anomaly Detection and Identification" to develop signal processing algorithms that enable autonomous detection, classification, and filtering