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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
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 15 hours ago
budgets and support programming by coordinating rooms and food for numerous events monthly. Processing government education benefits for the military-affiliated population as needed. Advising students
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Conduct numerical calculations to support the design and optimization of thermoelectric elements and modules. Perform analyses of thermal stresses in thermoelectric modules, including for various types
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numerical models to improve the simulation of complex multiphase phenomena. The study will combine theory, algorithm development, and computational modeling, with the goal of advancing scalable hybrid
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for women in science. Numerous attractive additional benefits, see also https://jobs.aau.at/en/the-university-as-employer/ Diversity- and family-friendly university culture. The opportunity to live and work
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 2 months ago
://www.cmap.polytechnique.fr/~aymeric.dieuleveut/ ), professor at Ecole Polytechnique (Palaiseau). The successful candidate will implement and compare different distributed and stochastic numerical optimization paradigms
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today. Their convergence has the potential to redefine how we simulate, optimize, and understand complex physical systems. Integrating AI into quantum computers and simulators can help overcome current
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, 100% funded PhD student position to fill starting around June 2026. Research is to be in the field of computational methods in nonlinear and large scale optimization / inverse problems or in novel