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deep learning algorithms to enable robotic arms to perform complex tasks guided by natural language instructions. Experiment with and deploy vision-language-action models on robotic platforms
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learning, to help solve complex agricultural problems that also depend on collaboration across scientific disciplines and geographic locations. In addition, many of these technologies rely on the synthesis
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preparation. We are seeking candidates who can begin their fellowship August 1, 2026, although the exact date is flexible. Fellows will conduct research on STEM teaching and learning while contributing
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Jia Liu is seeking a highly-motivated postdoctoral researcher with a strong background in agentic artificial intelligence and machine learning. The successful candidate will conduct independent, high
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Centre for Lifelong Learning and Individualised Cognition CLIC is a research collaboration between the University of Cambridge and Nanyang Technological University (NTU) and hosted by the Cambridge
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development of a novel generative AI framework for structural biology. This project sits at the intersection of X-ray scattering and deep learning, aimed at integrating experimental data to predict protein
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do things, especially considering recent advancements in AI technology. The position will include developing radiomics and deep learning models from contrast-enhanced computed tomography images
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possibly other advanced courses). The coordinated courses feature carefully developed materials, giving fellows access to a complete, high-quality course while learning effective teaching and student
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State Common Core Learning Standards and may incorporate elements of studio practice. Contribute to the Museum’s PreK-12 education web portal to house virtual materials and engage younger audiences
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 1 day ago
within six months of the appointment commencement) and experience in statistics, data science, machine learning, bioinformatics, quantitative biology, or closely related fields. Candidates must possess