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, such as pulse design or numerical optimization Background in data-driven or machine-learning approaches relevant to optimal control (e.g., model learning, reinforcement learning) What you will do Take
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devices using broadband spectroscopy and electron microscopy The position offers a stimulating interdisciplinary environment and opportunities to develop advanced skills in numerical optimization
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development spanning areas such as optimization, Fourier analysis, numerical linear algebra, statistics, machine learning, and high-performance computing for one or more of the following: (1) reconstruction
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this question using a numerical approach: [Karashabyeva 2025] proposes a topological optimization for a steady-state heat transfer case, while [Alpar 2024, Alpar 2025] addresses shape optimization in both steady
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that are relevant to industry demands while working on research projects in SIT. The researcher will be part of the team of the CFI Project (https://www.pub.gov.sg/-/media/PUB/Resources/Press-Releases/2024/06/Annex
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city with an exceptional environment, culture and quality of life. It is home to numerous high-quality research institutes and Montpellier University, a vibrant 70,000 student population and one
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Louis Lions. - Design and implement innovative methods for the numerical solution of wave propagation problems within the FreeFEM software, using high-performance computing - Optimize the code
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the pulsed electric field so that all microalgae in the solution receive the electric field for equal durations. The aim is to continue the numerical study (CFD) already undertaken in this field to find
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(Sustainable Thermo-Fluid Energy Systems, https://www.ugent.be/ea/eemmecs/en/research/stfes ) is widely known for its research on thermal energy. Both experimental and numerical techniques are used in
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directions, J. Energy Storage 84 (2024) 110945. https://doi.org/10.1016/j.est.2024.110945 V. Safari, H. Abolghasemi, B. Kamkari, Experimental and numerical investigations of thermal performance enhancement in