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Brandenburgische Technische Universität Cottbus | Cottbus, Brandenburg | Germany | about 1 month ago
Transformation Processes" and "Artificial Intelligence and Sensor Technology". BTU guarantees its students at the Cottbus and Senftenberg campuses a high-quality education, individual support, and the opportunity
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Blindern, Oslo. Job description As a response to the power hungriness of artificial intelligence (AI) there is a growing interest from the research community in exploring near-analog biologic brain inspired
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validated at CPPM. In parallel, the candidate will improve data reconstruction algorithms by using artificial intelligence techniques (e.g. neural networks), to optimize the separation between signal and
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artificial intelligence (i.e. machine, deep and reinforcement learning…) to optimize efficiency, improve safety, reduce costs and promote sustainability. Collaborate with multidisciplinary teams to uncover a
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for establishing and enhancing mentoring networks. The College also offers support for teaching, scholarship, publication, artificial intelligence initiatives, computing software, conference travel, and community
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develop new and creative approaches based on operations research, artificial intelligence, machine/deep learning or similar methodologies, to improve the design and performance of future manufacturing
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-Artificial-Intelligence--AI--in-Translation_R00022987 Closing date of this application is 28 February 2026. Where to apply Website https://www.timeshighereducation.com/unijobs/listing/406188/assistant
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, statistics, systems science and control theory, information theory, operations research and econometrics, theoretical computer science and cryptography, mathematical theory of artificial intelligence, etc
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through publications and presentations throughout the PhD. 6 Skills The candidate should hold a Master’s degree in electronic engineering, embedded systems, artificial intelligence, signal or image
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collaboration (neuroscience, artificial intelligence, cognitive psychology) and aims to develop a novel theory of auditory scene analysis in the brain and in machines. In Marseille, the group focuses