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for this PhD position will be conducted in the research team on Intelligent Wireless Networking. Job description Wireless systems are omnipresent in our daily life, but it is far from perfect, especially
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for Artificial Intelligence and Data Science (IAD) at the University at Buffalo (UB) invites applications for one Assistant Professor of Teaching position (Lecturer) in line with their experience and prior
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to the interdisciplinary integration of Artificial and Human Intelligences or related technologies are most welcome. Some examples are : the use of AI and technology to assist the young, the elderly, the disabled, etc
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observation (EO) and explainable artificial intelligence (xAI) for decision intelligence. In an era of rapidly evolving geopolitical dynamics and increasing complexity in the security landscape, the ability
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technology. The department offers a robust curriculum at both undergraduate and graduate levels, supporting research and innovation in diverse subfields including artificial intelligence, data science, cybersecurity, and
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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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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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Generative AI. Location: SustAInLivWork Centre of Excellence (CoE) (Artificial Intelligence Centre of Excellence at Kaunas University of Technology (KTU)), Kaunas, Lithuania. The role requires a physical
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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