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Will: Design, implement, integrate, and test software for performing autonomous vehicle guidance and control. This software includes Design algorithms for signal processing, detection, classification
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conducting research into the vulnerabilities of AI and ML algorithms and securing against those vulnerabilities. The Secure AI Lab within the SEI’s AI Division focuses on improving the security and robustness
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methods, Machine Learning algorithms, and prototypical Energy Management systems (EMS) controlling complex energy systems like buildings, electricity distribution grids and thermal energy systems for a
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analysing using quantum-enhanced machine learning. These include strong background both in classical machine learning, physics-informed methods, graph neural networks, and quantum algorithms. The work will
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assist in developing quantum reservoir computing algorithms and work using them to model power systems data from, in particular, NLR’s ARIES platform, to explore the limits of quantum reservoir computing
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engineering Mathematics » Applied mathematics Mathematics » Algorithms Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 24 Apr 2026 - 23:00 (Europe/Athens) Country
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techniques and algorithms to be used in the field of optical communications, with particular focus on quantum systems Where to apply Website https://www.santannapisa.it/it/assegni-di-ricerca-e-selezioni
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of the center's researchers. Integrate precipitation data to support the maintenance and improvement of algorithms for improving precipitation estimates by combining radar and rain gauge data. Develop methods
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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INFORMATICA - SCIENZA E INGEGNERIA | Italy | about 1 month ago
and extensible framework that supports dynamic composition of workload parsers, workload-management algorithms, predictive models, and performance metrics collectors through declarative configuration
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. Integrate precipitation data with collaboration in the maintenance and improvement of algorithms for improving precipitation estimates by combining radar and rain gauge data. Develop methods