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. The researcher(s) will be provided access to state-of-the-art supercomputing facilities with advanced GPU and data storage capabilities. Additionally, opportunities will be available for collaborations. Duties
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machine learning techniques, and GPU programming. The simulation results will be compared to observational data obtained using facilities worldwide including ESO and NOT. Who we are looking for A successful
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. We expect successful applicants to work towards improving the collaborations and connections among the different areas. We invite applicants to visit our website to learn more about current research
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evolution of the seabed and the salt marsh. In fact, solving an advection-diffusion equation for different sediment grain sizes and vertical levels rapidly dominates the computational time and does not
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linear algebra computations, building software for scientific applications using GPUs (Graphics Processing Unit), multi-threading and parallelism, numerical discretization methods (finite differences
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detection, avoidance and path planning methods for mobile systems in any field Expertise on object feature detection, classification and localization Real experience on working with different perception
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for three consecutive periods (2014-2018 and 2018-2022 and 2023-2026). ICN2 comprises 20 Research Groups, 7 Technical Development and Support Units and Facilities, and 2 Research Platforms, covering different
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innovation, and looking to make a difference. If this sounds like you, you've come to the right place! The successful candidates are expected to perform the following tasks: Conduct research on RF threat
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on retrospective Danish data. The research will include testing different levels of model scaling in terms of data amount and diversity, and training will take place both on a local GPU cluster and on the Gefion
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connections among the different areas. We invite applicants to visit our website to learn more about current research projects at CASS. The center fellows will have access to a 70,000-core Infiniband Cluster