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. This development has a huge potential for societal impact, with applications in renewable energy, energy storage, electronics, medicine, sustainable manufacturing, etc. The main focus for the advertised positions is
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techniques, would be an advantage. The ideal candidate will have a deep interest in the algorithms that power graphics and a creative mindset, eager to think outside the box and develop novel solutions
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historical data is available. This project aim for two key research advances: first, the development of a new human-in-the-loop active learning framework [2, 3], which uses conversational AI to negotiate key
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of the abundant information in their social media feeds that are algorithmically generated, they need to develop critical digital literacy skills that allow them to distinguish between different sources, genres and
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interaction between galaxy formation and evolution and cosmic web environment. The PhD project will be supervised by Prof. Elmo Tempel (Tartu Observatory) and Prof. Rien van de Weygaert (Kapteyn Astronomical
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The University of Alabama, Department of Electrical and Computer Engineering | United States | 2 months ago
. Nathan Jeong shjeong@eng.ua.eduAdvanced Signal Processing and Machine Learning Algorithms for Autonomous Vehicles, Prof. Shunqiao Sun ssun21@eng.ua.eduTransportation Electrification and Power Distribution
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the Research Group “Nonlinear Optimization and Inverse Problems” (Head: Prof. Dr. D. Hömberg) starting as soon as possible. The project is part of a BMBF project concerning industrial scale data preparation
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are you up for a challenge? Are you motivated to contribute to solving important societal questions by developing algorithms, adjusting existing statistical models and conducting simulation studies
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like the target voice, such as competing voices, which are particularly challenging for noise reduction algorithms currently employed in hearing aids. With multimodal hearing aids, which capture a
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Systems for hydrogen) studies the development of hydrogen systems from a socio-technical perspective. It considers both the economic and business cases of hydrogen systems, but also the system integration