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, This opportunity allows a postdoctoral researcher to work on an industrially facing project, applying artificial intelligence (AI) methods to better inform processing to obtain high-quality engineering polymers from
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for 12 months, This opportunity allows a postdoctoral researcher to work on an industrially facing project, applying artificial intelligence (AI) methods to better inform processing to obtain high-quality
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Duration: 2 years (renewable) Location: Turin, Italy (on-site) Supervision: Sebastiano Panichella Affiliation: AI4I – The Italian Institute for Artificial Intelligence • IDeaLS Lab – Intelligent Development
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grading practices ● Human composition in the age of artificial intelligence Northeastern University’s dynamic Writing Program houses a mix of full-time teaching professors, graduate students, part-time
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management, workflow management, High Performance Computing (HPC), machine learning and Artificial Intelligence to enhance our capabilities in making AI-ready scientific data. As a postdoctoral fellow at ORNL
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. The entire process must be supported by Artificial Intelligence technologies and should also encompass explainability techniques. The fellow will carry out research within the scope of the Science Center
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This is an opportunity for a knowledgeable and creative individual to be part of a team using artificial intelligence and high-performance computing to evaluate the state of health (SOH
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10 research sections. We broadly cover digital technologies within mathematics, data science, computer science, and computer engineering, including artificial intelligence (AI), machine learning
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SUSMAT-RC - Postdoc Position in Computer-Aided Design and Discovery of Sustainable Polymer Materials
based on experimental and computational data. Establish predictive models based on artificial intelligence methods. Utilize the developed models to design and optimize the properties of materials. Conduct
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of natural language processing, machine learning, artificial intelligence, and human-computer interaction. Established within the School of Computer Science, LTI pioneers innovative approaches to understanding