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. Supercritical CO2 (sCO2) Brayton cycles have emerged as a promising solution for achieving high efficiency and increased flexibility across various applications. The numerous benefits of sCO2 power cycles include
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and extend existing numerical codes to simulate these phenomena. Some experiments and modelling will be done in collaboration with other PhD students in the GRAIL project. Your tasks: • Simulate
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. Perform numerical simulations on the performance (i.e. secret key rate versus distance) of these systems as a function of the magnitude of the imperfections. Write scientific articles. Where to apply
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properties of individual materials depending on the temperature. The results obtained from the numerical analyses give a relatively objective picture of the behavior of materials under the influence
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relevant to particle physics and cosmology. The candidate will use formal tools descended from string theory and supergravity, to perform analytical and numerical calculations of observable quantities in new
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will focus on new numerical algorithms that improve the computational efficiency of flutter constraint evaluations. By accelerating these evaluations, we aim to enable rapid flutter assessments, and
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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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carbon cycling, with a focus on boreal forest ecosystems Experience with data processing software for eddy-covariance data (EddyPro, REddyProc) Excellent numeric and analytical problem-solving skills
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Position The PhD student will work on laser imprint and ablator physics related to inertial confinement fusion. The student will be in charge of: Numerical modeling using FLASH code to prepare and dimension
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, stiffness loss, damage evolution, and transient creep interact under coupled loading. The project will develop temperature-dependent constitutive models informed by numerical simulation. Machine learning