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Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
association with NOAA's Geophysical Fluid Dynamics Laboratory (GFDL), seeks a postdoctoral or more senior research scientist to develop hybrid models for sea ice that combine coupled climate models and machine
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. Application deadline: 22 June, 2025 For questions, please contact: Associate Professor Xin Zhao, Fluid Dynamics xin.zhao@chalmers.se *** Chalmers declines to consider all offers of further announcement
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machine learning techniques for dynamic energy system modelling Develop advanced optimization algorithms for building energy management and control (e.g., MPC, RL) Develop and evaluate digital co-simulation
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3D micro and nano-imaging. Close collaboration with the interdisciplinary team at DTU Construct, DTU 3D Imaging Centre, and DTU Compute, particularly the other “MathCrete” postdoc at DTU Compute (see
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A knowledge of fluid dynamics is recommended. Personal characteristics Working as a Postdoctoral fellow requires that you The successful applicant is a highly competent, motivated and ambitious
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The TUM School of Computation, Information and Technology at the Technical University of Munich (TUM) welcomes applications for a PhD or Postdoc Position (m/f/d, 100%, 2 years+) in Numerical Mathematics
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focuses on building scalable, accreditation-ready analysis workflows to detect and classify microplastics in complex sample types such as drinking water, plant-based beverages, and biological fluids. As a
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techniques, applying computational neuroimaging, machine learning and fluid dynamics methodologies to interpret these complex datasets. They will work closely with a dynamic team comprised of neurosurgeons
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industrial and academic partners. The overall goal of the project is to optimize the design of water eletrolyzers for efficient green energy production. You will be conducting Computational Fluid Dynamic (CFD
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industrial and academic partners. The overall goal of the project is to optimize the design of water eletrolyzers for efficient green energy production. You will be conducting Computational Fluid Dynamic (CFD