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have or be close to finishing a PhD in bioinformatics, artificial intelligence, biophysics, or computational biology. The ideal candidate will have demonstrated experience in developing and applying
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Infrastructure? No Offer Description Role Description Artificial intelligence (AI) and quantum technologies are among the most transformative areas of frontier research and development in science and engineering
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contribute to ongoing research projects with Artificial Intelligence (AI) focus related to the Center for Applied Research on Work (CAROW). Responsibilities include: the utilization of direct data and
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Classification Title: RES AST SCTST Classification Minimum Requirements: PhD in Mechanical Engineering, Material Science, Chemical engineering, or a closely related field e.g., nanoscale transport
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contributing to computational model development The position is primarily computational and AI-driven, with close interdisciplinary collaboration. Qualifications We are looking for a candidate who: Holds a PhD
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Experience Appropriate PhD in a related field. Preferred Qualifications Experience with machine learning and deep neural network techniques. Experience with wearable and sensors placed in the environment
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innovation across electronics, materials science, and artificial intelligence. What we expect Applicants should hold a PhD in electronic engineering (the degree should have been completed within the last 5
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Learning Through Research (CATLR), and the Office of Faculty Development (ADVANCE). We welcome applicants with recently-awarded PhD, EdD, or related doctoral degrees (2023 or later) from the humanities and
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, spanning fields such as neuroscience and cognition, humanoid technologies and robotics, artificial intelligence, nanotechnology, and material sciences, offering a truly interdisciplinary scientific
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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