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, machine learning, and control in the energy sector. The postdoc researcher will perform theoretical study and algorithm development on optimization/control/data analytics methods and authorize peer-reviewed
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phoneme-level representations to improve intelligibility and robustness in challenging acoustic environments. Your work tasks In this role, you will be responsible for developing and implementing advanced
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breakthrough and to contribute to the welfare of society and humanity through developing innovative technologies. We also conduct research on ethical, legal and social issues caused by the spread of AI
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Science and Engineering, or a related area is required. The position will involve developing models and algorithms for the evolution of inorganic aerosols in the atmosphere, building upon the research
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(e.g., based on physiological signals or direct inputs from occupants) and developing algorithms, including machine learning methods. The work will include statistical modelling, data-driven modelling
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, focusing on intelligent sensor tasking and the automated identification and characterization of space objects in Earth orbits and cislunar environment using optical data. Contribute to the development
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algorithms, and machine learning to solve complex aerospace engineering challenges. Developed and implemented AI-driven solutions for autonomous lunar and asteroid landings, as well as cislunar operations
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primary mission involves developing control strategies that enable robots to perform complex manipulation through tactile feedback. You'll focus on three critical aspects of the problem: sliding motion
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Video Sensorization for Secure Healthcare Monitoring (SViSenS) project, which develops privacy-preserving, AI-driven video-based monitoring technologies for healthcare. Your responsibilities include: You
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a unique opportunity to contribute to cutting-edge research dissecting how cancer cells interact with their microenvironment in response to therapeutic intervention. Our research team develops and