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in areas such as medical devices, diagnostics, biosensors, wearables, therapeutics, biotechnology-enabled innovations, digital health, artificial intelligence, data science, and other engineering and
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changed from time to time to meet changing circumstances. KEY REQUIREMENTS A PhD (or be close to completion of a PhD) in Data Science, Computer Science, Artificial Intelligence, Statistics, Applied
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leading academic institutions with expertise spanning quantitative PET imaging, image reconstruction, physics, artificial intelligence, and data analysis, alongside industrial partners developing next
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of both. Demonstrated ability to integrate emerging technologies, including artificial intelligence (AI), business analytics, and data visualization tools, into accounting instruction and curriculum
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knowledge-driven models is a, promising direction for building a Human-Centered Artificial Intelligence (HCAI) multi-task decision- support system for carbon emission reduction in complex industrial processes
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"Gheorghe Mihoc - Caius Iacob" Institute of Statistical Mathematics and Applied Mathematics of Romanian Academy | Romania | about 2 months ago
Research Infrastructure? Yes Offer Description Participating in research and development activities by implementing, testing and validating biomedical data analysis methods, artificial intelligence and
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
centre with a focus on applied artificial intelligence (AI) in the maritime sector. The maritime industry is adopting AI technologies. The next decade will bring extensive digitization of operational data
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 13 hours ago
world. Position Summary This Postdoctoral Research Associate will conduct advanced research in artificial intelligence, machine learning, computer vision, and medical image analysis. The position will contribute
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(https://endomic.github.io) aims to develop artificial intelligence and statistical-learning methods capable of identifying robust and clinically meaningful disease endotypes from heterogeneous, multimodal
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14 Jul 2026 Job Information Organisation/Company MOHAMED BIN ZAYED UNIVERSITY OF ARTIFICIAL INTELLIGENCE Research Field Computer science Researcher Profile Recognised Researcher (R2) Leading