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Field
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-funded research project. The goal of the research is to discover how collectives can be made more creative, intelligent and when they can select the rules governing their interactions. The focus
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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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, 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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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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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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migration, incarceration and the criminal justice system, democracy/populism, Artificial Intelligence, integral ecology, war/peace, or the structural response to poverty. (This is an indicative not
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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