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Field
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Geotechnical Engineering, or a related field with a focus on one or more of the following: Artificial intelligence applications in geotechnical engineering Bioremediation and geoenvironmental engineering
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and explainable hybrid Artificial Intelligence, i.e., the mix of formal knowledge representation and reasoning with sub-symbolic data-driven machine learning approaches, to work on car-driver digital
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, or public health data from pathogen surveillance efforts and biobanks. Project description DDLS Fellows program Data-driven life science (DDLS) uses data, computational methods, and artificial intelligence
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to cutting-edge research exploring how artificial intelligence (AI) is reshaping and transforming strategy formulation and execution. This position offers a unique opportunity for a researcher who is
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are required. Strong written and oral communication skills and ability to work both independently and collaboratively as part of a multidisciplinary research team are required. Knowledge of artificial
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, computer science, and computer engineering, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks
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University of British Columbia | Northern British Columbia Fort Nelson, British Columbia | Canada | 2 months ago
migration through non-isotropic environments as well as through microfluidic devices. The goal is to develop artificial synthetic cells for biomedical and experimental research. As a by-product, we seek
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Postdoctoral Associate to advance cutting-edge research in machine learning (ML). Our lab explores the intersection of artificial intelligence, and human-computer interaction, striving to create technologies
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the Data-Driven Life Sciences initiative – one of Sweden’s largest and most ambitious research initiatives, focusing on using data, computational methods, and artificial intelligence to study biological
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contextual modulators of executive control like emotion and motivation. We use and develop advanced computational methods, including 'big data' statistical methods, machine learning, and artificial