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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
undergraduate researchers in the Howland Lab and MIT Parsons Laboratory. Meeting escalating energy demand from emerging uses, such as artificial intelligence (AI) and data centers, will require an unprecedented
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understanding of electro-active artificial muscles, or other stimuli-responsive smart materials. We are looking for someone with a strong passion for interdisciplinary research, collaborative teamwork, and
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1st, 2026, or soon thereafter. Your work tasks The positions are within the Artificial Intelligence for Operations Research (AI4OR) group at Aalborg University. The research will be carried out in close
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SUSMAT-RC - Postdoc Position in Computer-Aided Design and Discovery of Sustainable Polymer Materials
candidate is expected to: Build and evaluate chemical databases based on experimental and computational data. Establish predictive models based on artificial intelligence methods. Utilize the developed models
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.) together with advanced artificial intelligence methods. The main objectives are to: ➔ design and experiment with multimodal AI models to improve the diagnosis and prediction of battery aging; ➔ explore and
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on physics analysis and artificial intelligence/machine learning (AI/ML). The successful candidate will contribute to the group’s broad physics program, which includes precision Higgs and Standard
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within the project) can be found at its website: https://www.mobilitydesaignlab.nl/. Job requirements The candidate should have: a PhD degree in Artificial Intelligence (AI) or closely related topics in
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The Opportunity: Conduct research in Natural Language Processing (NLP), Computer Vision, and Artificial Intelligence (AI), with the goal of publishing in top-tier conferences such as CVPR, ICCV
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artificial intelligence with a preferred focus on computer vision and medical image analysis. Preferred Qualifications: PhD in Medical Physics, Bioengineering, Biomedical Engineering, Physics, Computer Science
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 10 days ago
and AI-driven Integrity in Mitigation. CLAIM advances the credible use of artificial intelligence, especially generative AI and large language models (LLMs), to accelerate climate mitigation while