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Field
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results. Machine Learning skills to automise comparison process. Unbiased approach to different theoretical models. Experience in HPC system usage and parallel/distributed computing. Knowledge in GPU-based
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-based experiments. Proficiency with scientific programming languages and analysis tools such as C++, Python, Geant4, and ROOT. Experience with simulation and modeling of detector systems and physics
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: Using biogeochemical evolutionary models to simulate lifeless and inhabited worlds, and Developing disequilibrium-, redox-, and information-based metrics to understand and quantify the influence of life
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Applications are invited for a 2-year position in the field of CFD and modeling of heat pumps at the Department of Mechanical and Production Engineering, Aarhus University, Denmark. Expected start
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bringing together expertise and methods from different Climate Science, Ocean Biogeochemistry, Biological Oceanography, and Marine Ecology as well as the Ocean Modelling community, Social Science, Software
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methodology will involve the development of mathematical models for signal transmission and reception, derivation of fundamental performance limits, algorithmic-level system design, and performance evaluation
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vivo neuroscience experiments in rodent models of addiction. Design and conduct cutting-edge experiments, lead independent research projects, and contribute to collaborative, multidisciplinary studies
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Applications are invited for a 2-year position in the field of CFD and modeling of heat pumps at the Department of Mechanical and Production Engineering, Aarhus University, Denmark. Expected start
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Postdoc in modelling Greenland and Himalaya precipitation using machine learning Faculty: Faculty of Science Department: Department of Physics Hours per week: 36 to 40 Application deadline: 31
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scholar will be expected to be involved in research efforts in at least one of the following: transportation data analytics, highway safety, transportation equity and sustainability, traffic simulation