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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 6 hours ago
approaches include MHD, Vlasov, and hybrid codes run on computers ranging from PCs to massively parallel computers, while analytical work involves linear and nonlinear instability theories. Location: Goddard
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hybrid discretisation frameworks that apply varying fidelity across the computational domain. This includes creating conservative transmission algorithms that ensure consistent exchange of information
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. Previous experience in computational modeling of atmospheric aerosols and parallel computing/software development is strongly desired. The term of appointment is based on rank. Positions at the postdoctoral
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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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fusion (lidar, camera, IMU), embedded programming, and/or real-time computing? Are you ready to push the boundaries of autonomous navigation in challenging environments like forests and off-road terrains
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), embedded programming, and/or real-time computing? Are you ready to push the boundaries of autonomous navigation in challenging environments like forests and off-road terrains? Join our innovative project
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2026 - 22:59 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within
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) The Institute of Computer Engineering (ZITI) at Heidelberg University invites applications for one research assistant position with the possibility to do a PhD in parallel at the chair of computer architecture
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Postdoc position to support international research and capacity-building projects employing elect...
. Publication of scientific results in international journals and presentation at conferences. Supervision and mentoring of MSc and PhD students. The successful applicant will also be required to support parallel
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preferably) Strong skills in turbulence modelling, CFD mesh generation and use of parallel computing Have relevant experience in working with aerosols and droplets Proficient in handling large data sets and