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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 21 hours ago
choose from a wide range of professional training opportunities for career growth, skill development and lifelong learning and enjoy exclusive perks that include numerous retail and restaurant discounts
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 2 months ago
Research Infrastructure? No Offer Description Applications are open for one (1) Research Studentship for students enrolled in a Master degree, within the framework of the project HELIPORT (https://doi.org
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, engineering, computational science or relevant field(s). Experience in developing numerical code, preferably fortran, is required. Preference will be given to candidates with experience in modeling edge and
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sputtering). A coupled approach, involving experiments and Multiphysics numerical simulation will be implemented. A thorough investigation of the relationships between deposition conditions (temperatures
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design recovery and stability strategies using large-scale simulation workflows. Build and expand realistic, continent-scale power system models (e.g., the European transmission grid). Implement and test
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trips, plus an elective course. Examples of elective courses could include aqueous geochemistry, geomorphology, soils, glaciology, GIS, or numerical modeling. We are seeking candidates who can demonstrate
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the FLEXPART model, you can also propose your own research topics. These could be, for instance, theoretical and numerical improvements of FLEXPART, development of new application fields for the model
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, these phases can also emerge in periodically driven systems (Floquet systems), providing an ideal framework for studying out-of-equilibrium topology. This thesis will focus on the numerical study and
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numerical modeling and validation of brain-inspired algorithms Develop circuit-plausible training and inference algorithms, and analyze their behavior in LTspice and Cadence Spectre Perform algorithm–circuit
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between the polymer matrix and carbon nanotubes in nanocomposites. In the first phase, a critical review of the literature will be carried out on numerical and experimental methodologies used to investigate