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for resilient, just, and sustainable Southeast Asian societies. CTP will generate knowledge and innovation across disciplines including climate and Earth science, ecology, materials science, artificial
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development, process innovation, inspection and validation, and digitalisation through digital twins. SC3DP integrates high-impact research in sustainability, artificial intelligence, and robotics with additive
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 1 day ago
Position Details Position Information Position Title Donald Hill Family Postdoctoral Fellow - Artificial Intelligence in Health & Medicine Posting Number PTAP3278P Department/Unit Computer Science
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reproducibility, and help shape a more reliable and intelligent future for scientific research. You will develop and apply new artificial intelligence methods to scientific data, while helping to build reproducible
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Overview An opportunity has arisen for an experienced image analysis and computing scientist with experience in both classical image processing and artificial intelligence to work as part of
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Science (IME-USP) in Brazil will work at the intersection of High-Performance Computing (HPC) and neuro-symbolic Artificial Intelligence (AI) to combat multimodal disinformation (deepfakes). The activities
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graduate courses with a focus in machine learning and its applications in artificial intelligence, NLM, GenAI, computer graphics, networking, cybersecurity, IoT, robotics, HCI, databases, software
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hemocompatible coating strategies to improve membrane–blood interactions. - Model and optimize membrane performance using computational tools, machine learning, and artificial intelligence Work Plan - Synthesis
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current management methods. This thesis aims to contribute to the artificial intelligence-assisted modeling and simulation of the processes, organizations, and data flows involved in the O&M activities of a
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The project offers a unique opportunity to work at the interface of artificial intelligence and biology, combining multimodal machine learning with real-world biological data. The results will contribute to a