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infrastructures. You will contribute to research projects enabling secure, interoperable, and scalable use of clinical data for AI and machine learning applications in complex diseases such as Cancer, Alzheimer's
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solutions. Support projects involving artificial intelligence, machine learning, data platforms, scientific workflows, and advanced computing technologies.· Evaluate and recommend new technologies, tools
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for a short-term 2.5-month postdoctoral position (full-time) focused on developing and validating machine learning models that predict soil health and crop performance. The position will exploit datasets
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description in charge of the research line: «Machine learning for remote sensing image processing (ML4RSIP)». Junior
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, solvent-based recycling process for complex plastic waste streams such as multilayer packaging and e-waste, while Exergy will develop the digital-twin and machine-learning tools that make the process
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). Finally, two research engineers (technical staff) will assist the PostDoc for all what concerns hardware/software development and maintenance of the robotic platforms. Where to apply Website https
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framework for understanding emergent deception in human-AI interaction by uniting behavioural-psychological, economic-strategic, and machine learning perspectives. The postdoc will be jointly supervised by
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goal of your PhD project will be to develop combined X-ray and visible-light imaging technologies and machine learning methods for high-throughput inspection tasks. The work will include the development
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University of North Carolina Wilmington | Wilmington, North Carolina | United States | about 7 hours ago
access helps us provide an enriching learning environment for students, faculty and staff interested in the marine sciences. College Center for Marine Science - 306 College College/School Information
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or environmental engineering, Mathematics (Operations research) or Computer Science or Machine Learning). Documented knowledge of relevant methodologies, both quantitative and/or qualitative, at master’s level