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LanguagesENGLISHLevelExcellent Research FieldTechnology » Telecommunications technology Additional Information Website for additional job details https://www.linkedin.com/jobs/view/4453059784/ Work Location(s) Number of offers
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and a passion for investigating the role of the tumor microenvironment, in particular CAF-driven epithelial plasticity, using advanced experimental models. The primary research focus will be to define
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the UCD School of Mathematics and Statistics. The successful candidate will lead research focused on developing a scalable, AI-driven quality control (QC) system for synoptic and climate observation data
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, autonomous, and fast. We're seeking a scientist-engineer hybrid to design the learning layer of our scientific agent platform. You will design the environments, rewards, and domain-specific models that enable
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invited to set up experiments to explore potential environmental conditions, test water mixing models, and constrain the influence of biology on mineral alteration. Studies focusing on clay minerals
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mainly be connected to DRIVE PR, but may also be linked to related projects within data-driven product realisation, digital engineering, systems engineering, geometry assurance, automation, or model-based
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3D mesoscale materials modeling. Position Details: Location: Ann Arbor, Michigan, U.S. Department: Mechanical Engineering, University of Michigan Start date: Flexible; preferred start date of September
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 6 days ago
-driven world. The Division will serve the state, the nation, and the world through premier data science educational programs and innovative research directed to advancing the public good with human centric
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 8 hours ago
-driven world. The Division will serve the state, the nation, and the world through premier data science educational programs and innovative research directed to advancing the public good with human centric
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suffer from the knowledge acquisition bottleneck and the lack of strong collaboration between researchers and industry experts. Effectively combining frugal and explainable data-driven models with