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Field
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existing quantitative methods in international nuclear safeguards with state-of-the-art artificial intelligence/machine learning (AI/ML) algorithms Contribute to standardising methodologies for calculating
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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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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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curriculum sequence A demonstrated commitment, knowledge, and skill in working with students to foster an environment of inclusion and belonging. Engagement with new technologies, such as artificial
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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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and networking, with a particular focus on 5G and Beyond 5G technologies and applications of artificial intelligence and machine learning to wireless systems. The candidate will oversee the design and
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computer engineering, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks, fairness, and data ethics
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Health Platform, advancing interdisciplinary research at the intersection of artificial intelligence, bioinformatics, and equity in Asian health research. Various projects may include: Contribute
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artificial intelligence (AI) and machine learning (ML) methodologies and interested in advancing these tools for accelerating the analysis of the big data acquired by electron microscopy. • You work
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Alternative assessment and non-traditional grading practices Online teaching and digital pedagogical innovation Teaching and learning in the age of artificial intelligence Northeastern University’s dynamic