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vivo (e.g., brain organoids) and in vivo (e.g., mice) experimental models. Our Group collaborates with colleagues based in two international consortia: CHARGE and ENIGMA. Our research takes place in both
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Oceanic and Atmospheric Administration (NOAA) Cooperative Institute for Research to Operations in Hydrology (CIROH; https://ciroh.ua.edu/). CIROH, headquartered at the University of Alabama (UA), consists
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. Continuous observations, carried out over long periods, are at the heart of the research conducted at ISTerre. They are essential for understanding, modeling, and anticipating the natural processes visible
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The UCL Energy Institute hosts a world-leading research group focused on the decarbonisation of the shipping sector. The shipping research group undertakes research to support the above using models
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Your position The candidate will have the opportunity to exploit some of the cutting-edge experimental and computational methods, comprising constraint-based and kinetic modeling, statistical
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 12 days ago
required to evaluate and train learning models contributing to robot software (dashboard, automated functions, etc.) depending on the profile, contributing to the design of physical interfaces with humanoid
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network performance data obtained from user devices. Assist in the development of basic models to predict or explain network behaviour under different conditions. Contribute to the improvement of internal
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Description Whether behaving as a solid, fluid or gas, powder is a state of matter that is difficult to model on a large scale, specifically in industrial equipment. The sizing of powder agitation devices and
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Modeling, Analysis & Prediction of Particle-laden Real-Gas Supersonic Turbulence. (Ref. 10267290001)
Description Mission: Carry out the modeling, analysis and prediction of real gas supersonic turbulence. Fuctions to be developed: Develop tools to aid analysis. Perform experimental and computational analyses
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, and ambitious researcher committed to accelerating the green transition by advancing adaptive materials, predictive modelling, and autonomous maintenance solutions. You thrive on scientific discovery