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of Chicago’s Academic Jobs website: https://apply.interfolio.com/194358 . Review of applications will begin on November 1st, 2026, and will continue until all positions are filled. The following materials
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Materials, Bioinspired Materials and Sustainable Materials. For more details, please view https://www.ntu.edu.sg/mse/research . MLab is seeking a Research Fellow to support the development and establishment
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gliomas. The project integrates generative AI, interpretable models, uncertainty estimation, and federated learning to improve clinical decision-making, data privacy, and personalized medicine
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 3 hours ago
(UNC) Chapel Hill Department of Epidemiology on a project aimed at developing software and analytic tools to perform disease modeling and critical analytics in response to infectious disease outbreaks
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devices, building a software-supported framework to predict and optimize laser-material interactions, energy transfer, and resulting micro-scaled features during drilling and shaping, and modelling of beam
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subject area. The department has education assignments in engineering programs and master's programs. More information is available on our website . (https://kemi.uu.se/angstrom/?languageId=1 ). Work duties The
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» Materials engineering Physics » Other Technology » Telecommunications technology Researcher Profile Recognised Researcher (R2) Application Deadline 17 Dec 2026 - 22:59 (UTC) Country Switzerland Type
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characterization of various coupled silicon nitride nanoelectromechanical oscillators and measurement of reservoir computing based on programmed FPGA scheme, (ii) development of multi-physics models in both
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methods that connect sensing, artificial intelligence, and decision-making for agricultural, food, biological, energy, environmental, and materials systems. The lab's core methodological focus includes
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reproducible project documentation, and support the careful use and evaluation of large language models and automated theorem-proving systems. A central responsibility will be to serve as a human-in-the-loop