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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Sophia Antipolis, Provence Alpes Cote d Azur | France | 15 days ago
analysis. The goal of this thesis is to advance causal AI for wireless networks by developing statistically reliable causal inference tools grounded in recent advances in simulation-aided inference and model
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that leads to optimal foundational brain development in all children during the first five years of life. In pursuit of this mission, we translate the latest brain science into tools and strategies that help
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for, including health insurance, retirement plans, and paid time off. To access this tool and learn more about the total value of your benefits, please click on the following link: https://resources.uta.edu/hr
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years. This position will work primarily on a Center for Bioenergy Innovation (CBI) project, in which we are developing new approaches to cost-effectively convert biomass into realistic biofuels. https
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | about 1 month ago
skills in Linux day-to-day use Basics in robotics or 3D vision Basics in machine learning/deep learning Open source development tools (git, docker, etc.) Languages: English is required for day-to-day
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technicians; ● Knowledge of machines and tools, including their designs, uses, repair, and maintenance ● Quality control analysis Minimum Qualifications: Experience: Charging, starting, and checking for proper
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compliance with federal, state, and university regulations. Proficiency in written communication, Microsoft Office, GIS tools, and other data management applications is essential. Familiarity with higher
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an opportunity for a Postdoctoral Fellow. In this role, you will conduct both independent and collaborative research to advance expertise in electric machine design and optimisation, with a focus on permanent
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are seeking an experienced and highly skilled Data Scientist with a strong foundation in genomic biostatistics to join our team. This role involves leveraging advanced statistical methods and machine learning
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plans, and paid time off. To access this tool and learn more about the total value of your benefits, please click on the following link: https://resources.uta.edu/hr/services/records/compensation