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Field
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basic research, education and faculty recruitment. The program addresses research on artificial intelligence and autonomous systems acting in collaboration with humans, adapting to their environment
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robotics, artificial intelligence, nanotechnology, and material sciences, offering a truly interdisciplinary scientific experience. Our approach integrates cutting-edge tools and technology, empowering
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contribute to ongoing research projects with Artificial Intelligence (AI) focus related to the Center for Applied Research on Work (CAROW). Responsibilities include: the utilization of direct data and
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, relevant artificial intelligence (AI) approaches such as CNNs and transformers, and protein structure predictions. The Kaelber lab is located in the Institute for Quantitative Biomedicine, home to several
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Intelligence or similar field/ related discipline obtained no more than five years prior to the application date*; 2) proven research experience in the field of artificial intelligence theory (e.g
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use tools such as artificial intelligence/machine learning, graph theory and graph-signal processing, and convex/non-convex optimization. Furthermore, our activities are experimentally driven and
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science, interaction design, applied artificial intelligence, architectural design, or a related field. We welcome candidates from diverse backgrounds, demonstrating strong collaboration skills and the ability
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data and artificial intelligence (AI). Current efforts focus on three priorities: 1) tracking real-time affect and cognition to understand the impact of emerging learning technologies, 2) refining and
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, computer science, artificial intelligence, or mathematics/statistics, with a PhD in one of these fields or a closely related field, and interested in applying this skillset to the analysis of music data. The place
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/computational neuroscientist with a strong mathematical and computational background. Candidates with an interest in understanding the overlap and differences between natural and artificial intelligence