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Field
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the ethical evaluation of artificial intelligence systems. We construe this area broadly to include, among other possible topics, the following active areas of research: understanding and diagnosing
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whose work addresses the historical, social, and cultural significance, impact, and/or trajectory of the "information age," cybernetics, computing, digital technology, artificial intelligence, and/or
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digital health and multi-agentic coordination. This role requires the development of self-learning artificial intelligence models tailored for dynamic healthcare environments. The candidate designs and
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researcher and creative practitioner whose work explores artificial intelligence as it pertains to music and other sonic media, with potential areas of emphasis including music information retrieval
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(ML) and artificial intelligence (AI) approaches to develop surrogate models based on field observations, remote sensing, or modeling outputs. We expect that you will be an important part of
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, neuroscience, cognitive science, artificial intelligence, or a related field, or you nearly obtain a doctoral degree with the defense expected within 6 months of starting the position of postdoc. You have strong
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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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You hold a PhD in Computer Science, Artificial Intelligence, Applied Mathematics, Electrical Engineering, or a closely related field. You have demonstrated expertise in machine learning and deep
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to the analysis and monitoring of urban environmental systems. The research will integrate geomatics, remote sensing, environmental geosciences, and artificial intelligence methods to investigate soil conditions
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of artificial intelligence, multi-omics data integration, and functional genomics, aimed at predicting synthetic lethality in cancer - including representation learning, nonlinear embeddings, and predictive