14 spray-modeling Postdoctoral positions at Chalmers University of Technology in Sweden
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Applications are invited for a postdoctoral position in modeling of interstellar magnetic fields at the Department of Space, Earth and Environment, Chalmers University of Technology, Sweden. About
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We are seeking a highly motivated and skilled Postdoctoral researcher with interdisciplinary expertise to develop risk assessment and mitigation models using Large Language Models (LLMs
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different mixing and reactive properties compared to conventional fuels. In this project, turbulent mixing and combustion of hydrogen in air will be studied through optical experiments and numerical modelling
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environment with strong links to both industry and European collaborative projects. Project description You will lead the development of a system-level noise model for ducted fans and propellers, with
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. Project overview The project involves applying advanced statistical analysis, machine learning techniques, and modeling approaches such as agent-based modeling to analyze diverse climate and socioeconomic
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recovery from alternative biomasses. In nutrition, we focus on human observational and intervention studies as well as cell- based model studies and apply advanced data-driven approaches and state of the art
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throughout the value chain and to utilise alternative sources for production of nutrient. In nutrition, we focus on human observational and intervention studies as well as cell-based model studies. By applying
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thermal conductivity b) Development of hBN thermal interface material that combines a high degree of compressibility and recovery c) Modeling, simulation and characterization of phonon transfer across
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team focused on improving the efficiency, resilience, and sustainability of future transport systems. In the team, we are interested in state-of-the-art models, methods, and technologies to enhance
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The position's field of research focuses on developing and implementing safe, transparent, and explainable AI systems using multimodal deep learning and Large Language Models (LLMs) for healthcare