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develop computational fluid dynamic (CFD) tools that make exascale computing accessible to a broader set of users. The successful candidate will develop a massively parallel solver, capable of running
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Vacancies Researcher (Postdoc) in Off-Road SLAM and Advanced Perception USP – Unique selling point Key takeaways Are you passionate about autonomous systems and advanced perception techniques? We
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Vacancies Researcher (Postdoc) in Off-Road SLAM and Advanced Perception Key takeaways Are you passionate about autonomous systems and advanced perception techniques? We offer an exciting
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. Where to apply Website https://www.academictransfer.com/en/jobs/357259/postdoc-air-quality-emission-sc… Requirements Specific Requirements A PhD in environmental sciences, geosciences, computational
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Postdoc: Air Quality, Emission Scenarios and Network Optimisation Faculty: Faculty of Veterinary Medicine Department: Department Population Health Sciences Hours per week: 32 to 36 Application
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Brain tumors, particularly glioblastoma, are among the most
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algorithms in the context of sparse tensor operations and apply them to real-world datasets. Parallel Computing: Explore opportunities for parallelism in the tensor completion process to enhance computational
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Max Planck Institute for Evolutionary Biology, Plön | Plon, Schleswig Holstein | Germany | 24 days ago
on several available Drosophila panels. In a parallel evolve and re-sequence (E&R) project, Drosophila populations will be experimentally evolved for larger/smaller embryo size. The postdoc will be responsible
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Postdoc position to support international research and capacity-building projects employing elect...
also offers a Junior Researcher Development Programme targeted at career development for postdocs at AU. You can read more about it here . At the Faculty of Natural Science at Aarhus University, we
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substantial knowledge and research experience in areas such as computational fluid dynamics, turbulence modeling, data-driven methodologies, machine learning, and parallel computing. The candidate should also