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Field
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biological systems, also in collaboration with other researchers and companies. Your profile Applicants should hold a PhD in Computer Science, Computer Engineering, Artificial Intelligence, Physics
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of artificial intelligence (AI) into real-time data analysis. This integration can revolutionize the interpretation of remote sensing data, allowing for rapid decision-making in critical situations, such as
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are part of the Research Council of Finland Centre of Excellence in High-Speed Electromechanical Energy Conversion Systems , the Finnish Center of Artificial Intelligence (FCAI) Special Interest Group in
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terms of technological advancements and innovation. Artificial Intelligence (AI), Generative AI, Internet of Senses and Digital Twins (DTs) are key technologies frequently explored in this context
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research, addressing the big data and artificial intelligence challenges of our industry partners. Field of subject for the position: Computer Science Placement: Department of Computer Science and Media
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Foundation Classes (IFC), and linked data Sensors as part of Internet of Things (IoT) and integration of sensory information in simulation models during run-time Data processing, incl. artificial intelligence
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or technical innovations. Qualifications: PhD in Artificial Intelligence, Machine Learning, Data Science, Electrical Engineering, or a related field. Strong experience in developing and applying AI/ML models
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on accelerating high-impact advances in human performance by leveraging the rapidly advancing fields of bioengineering, neuroscience, artificial intelligence, genetics, molecular biology, imaging, and regenerative
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chemistry or closely related field in physical chemistry or materials science completed within the last 5 years. Experience in applying artificial intelligence and machine learning tools for materials
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well as artificial intelligence and machine learning techniques (AI/ML) with emphasis on electronic properties (charge and spin) of a range of materials important to the DOE mission, including the materials classes