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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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engine dynamometer testing and high-fidelity physics-based modeling, with a focus on the intersection of combustion, fluid, and structural dynamics. Key Responsibilities: Design, execute, and analyze
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being part of these two networks. Subject description The project involves mathematical modelling of complex fluid dynamics, in particular viscoelastic flows in nano-structures. The work involves
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, the laboratory engages with the economic world and various scientific areas across a wide array of applications: fluid dynamics ; theoretical physics, mechanics and chemistry ; control, optimization and finance
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coupled nuclear engineering problems, using techniques such as (but not limited to) molecular dynamics, computational fluid dynamics, activation decay codes, kinetic Monte Carlo codes, particle transport
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physical oceanography, we also encourage candidates coming from theoretical physics or astrophysics to apply. Experience with numerical modeling is important, as is a solid background in fluid dynamics
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) Country Sweden 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 a
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) Application Deadline 5 Feb 2026 - 22:59 (UTC) Country Sweden 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
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and Energy Science Computational Science and Engineering Dynamics and Controls Systems Energy and Climate Fluid Mechanics Lasers and Applied Physics Materials and Mechanical Systems Robotics Princeton
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of the following qualifications: a PhD in fluid dynamics, oceanography, physics, applied mathematics or similar field; affinity with coastal simulations; strong skills in Python programming; motivation to cooperate