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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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completed before September 2026) in Civil Engineering, Hydrology, Actuarial Science, Econometrics, Applied Statistics or a related field; Experience with statistical modelling and regression analysis applied
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EPFL, the Swiss Federal Institute of Technology in Lausanne, is one of the most dynamic university campuses in Europe and ranks among the top 20 universities worldwide. The EPFL employs more than
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Yale School of Medicine - Department of Genetics | New Haven, Connecticut | United States | about 2 months ago
in single-cell genomics. Responsibilities: Design and run lineage-tracing and tumor-initiation experiments in genetically engineered mouse models of lung injury and adenocarcinoma Generate and help
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Job Duty Develop and validate simulation models and engineering solutions for power converters, microgrids, data centers, and grid-connected systems. Design and implement hardware-in-the-loop test
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University of California, Los Angeles | Los Angeles, California | United States | about 2 months ago
Skip to main content Recruit Home Open Recruitments Chemical and Biomolecular Engineering: Postdoctoral Employee - in vivo cell engineering (JPF11226) Chemical and Biomolecular Engineering
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thereafter. Explaining complex AI models is a key challenge for ethically responsible AI. Explainable AI (XAI) research aims to provide relevant information to assist developers and users in analyzing AI
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-driven science and Cornell University’s second largest college. We work across disciplines to tackle the challenges of our time through world-renowned research, education, and outreach. The questions we
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on animal models (preterm pigs) and clinical studies, contributing to the translation of milk EV biology into nutritional interventions for preterm infants, as well as preparation of data for high-quality
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in the areas of Hydrological and Earth System Modeling and Artificial Intelligence (AI). The successful candidate will have a strong background in computational science, data analysis, and process