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Field
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Singapore There will be multiple postdoc positions available in 2025 as part of the research group of Dr. Hemant Tyagi at NTU Singapore (in the School of Physical and Mathematical Sciences). The positions
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; or the training of a machine learning algorithm to read a digitized document written in an under-resourced language. Position description: The University of Toronto Libraries seeks a highly organized, flexible, and
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Cornell faculty members and the project’s co-principal investigators (from multiple organizations) to oversee a cross-organizational research team consisting of a group of postdoctoral associates, PhD
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; security issues in human-automation interaction; emergent security issues in AI-augmented cyber physical system and peripherals; security of advanced algorithms; ML training attacks; privacy of ML; AI-driven
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excellent place for networking in tech and outdoor activities. Responsibilities Research and development: Conduct research to design, implement, and refine deep learning algorithms, particularly focusing
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responsibilities. · Continue and build research and development programs into AI algorithms and technologies in mechanical ventilation (both own programs and participating in ongoing programs in the Division
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, you will: Lead the development and execution of multiple AI/ML projects related to multi-scale, multi-cellular immune system modeling. Develop, execute, and implement AI/ML infrastructure to simulate
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Head and Neck cancer patients. This person will be working with our multi-disciplinary cancer specialty clinics and tumor boards. This individual will be expected to develop algorithms around national
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Research Director, working closely with Cornell faculty members and the project’s co-principal investigators (from multiple organizations) to oversee a cross-organizational research team consisting of a
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multi-modality and advanced imaging systems. NIH-funded projects on benchtop experimental/ prototype imaging system development and algorithms for advanced and multi-modality imaging. Work on system