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Field
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applied mathematical modelling machine learning multi-fidelity modelling numerical methods. Demonstrated programming ability (MATLAB/Python/C++) and enthusiasm to learn PyTorch. Previous experience in one
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to conduct experimental and/or numerical studies related to the reactor development and process optimisation under supervisions of senior researchers from AU and 1414D. Research objectives To systematically
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clinicians) and undertake a prospective mixed methods study investigating flare symptoms as they occur, using physiological markers (e.g. heart rate and sleep from wearables) objective tests (e.g. cognitive
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excitations and excitonic effects using advanced Wannier-based methods * Quantum transport in polymer materials with electron–phonon coupling Full details and application instructions: https://www.ch.nat.tum.de
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the candidate will combine three levels of fidelity (first-principles based tool / RANS / Lattice Boltzmann Method) to design centrifugal turbomachines answering the needs of the project REVCO2. Numerical
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micro-PIV; iii) numerical simulation of flows using CFD tools. 8. Recruitment method: In accordance with articles 26 of the Regulation and 5 of the RJEC, the selection methods are: Evaluation
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discipline. Programming skills in any language and knowledge of numerical methods for solving differential equations are highly desirable. Knowledge of heat transfer is advantageous. Applicants are expected
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: The candidate should have a 1st or high 2:1 degree in electrical/mechanical engineering, physics, mathematics, or related scientific disciplines. Skills in numerical tools and programming are desirable (MATLAB
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candidate will be supervised by P.M. Congedo, E. Denimal Goy and Olivier Le Maître, experts in uncertainty quantification methods. The work will be conducted in the Platon team, a joint research group between
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simulation. A significant part of the work will involve scientific programming, development of numerical methods, and in-depth physical analysis of flow phenomena. The ideal candidate is passionate about new