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of cosmology and theories of gravity. Possible research directions include: modified theories of gravity; black holes and compact objects; gravitational waves; dark matter models; strong-field tests of general
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will support and conduct simulation modeling research related to tobacco and lung cancer prevention and control. Duties include: Conducts data analysis using secondary data sources, such as national
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 18 hours ago
to the development and validation of computational methods that integrate images with other multimodal data. The postdoctoral research associate will design, implement, and evaluate algorithms and models
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 2 months ago
institute of the Rennes University (IRMAR). The team expertise encompasses mathematical (stochastic) and numerical modelling of ocean flows, observational and physical oceanography, data assimilation and
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grant project “Driving innovation in crop resilience through Comparative QTLomics.” The selected candidate will contribute to five main objectives: 1. Apply large language models (LLMs) to collect
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Engineering and production optimization Documented mathematical, analytical and problem-solving skills. Good knowledge of statistics, AI/ML, and mathematical modeling and programming. Good knowledge in academic
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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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Position Description Northeastern University Department of Biology A Postdoctoral Researcher role is available in Mathematical Biology at Northeastern University working with Assistant Professor
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development About You You will hold a Ph.D/D.Phil in a quantitative or theoretical discipline (e.g. machine learning, computer science, mathematics, statistics, physics, theoretical neuroscience or a closely
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have a solid understanding of the different types of superstring models and associated supergravity theories. Knowledge of mathematical concepts useful for the project (differential geometry, exceptional