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Field
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will focus on the development and application of computational fluid dynamics (CFD), multiphysics modelling, and AI-driven optimisation for RAM systems. These approaches will be used to better understand
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, mechanics, fluid dynamics, or physics Excellent technical understanding and analytical capabilities High commitment and motivation, willingness to contribute to academic teaching Team spirit, strong
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Call funded under the AURIGA project (“Unveiling the RIddles of GAs–liquid fluid
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of the Research Institute, New York University Abu Dhabi, seeks to recruit a Post-Doctoral Associate to work in the fluid mechanics laboratory for experimental fluid dynamics. SITE is inviting
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skills, both verbal and written, are required. Key duties: Successful candidate is expected to: Setup, validation, and evaluation of Computational Fluid Dynamic (CFD) models for the elucidation
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of stochastic perturbations of fluid dynamic equations related to convection. Close interaction with other MPI MiS groups, especially "Applied Analysis" (László Székelyhidi) and "Pattern Formation, Energy
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Institut National des Sciences Appliquées de Lyon | Villeurbanne, Rhone Alpes | France | 20 days ago
, the programme aims to accelerate the transfer of ABH technologies towards real-world applications in sectors such as aerospace and energy. PhD project : Vibroacoustic control of fluid-filled pipes with add-on
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to mastering the great challenges facing society today. The Institute of Fluid Dynamics is conducting basic and applied research in the fields of thermo-fluid dynamics and magnetohydrodynamics in order to
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Max Planck Institute for Solar System Research, Göttingen | Gottingen, Niedersachsen | Germany | 24 days ago
qualification PhD in fluid dynamics, physics, applied mathematics, computer science, or a related field. Experience with machine learning, numerical methods for PDEs, TensorFlow or PyTorch, and Python. Experience
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The School of Mechanical & Aerospace Engineering (MAE) is a robust, dynamic and multi-disciplinary international research community comprising of world-class scientists and bright students. MAE