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formal methods. The successful candidate will contribute to advancing data-driven modeling techniques that enable formal safety guarantees for complex dynamical systems such as autonomous vehicles
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with Master degrees with technical publications and research experiences in structural engineering, structural dynamics and protective structures are preferred. Application process To apply, please send
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we intend to understand what is the statistical structure of the electric grid that is coming, we need to confront the dynamism of the network and discard the widespread linearized static model
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BINDERS FOR SUSTAINABLE BATTERY ELECTRODES (F/M/D) The INM Department Structure Formation (SFG) invites applications for a Postdoctoral Researcher position within the BMFTR-funded research project “RevEl
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on our recent discovery that impact ejecta produces a unique hundred-metre-scale irregular cellular structure when it interacts with mid-latitude debris covered glaciers. Our pilot work established the
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of structures while shaping the next generation of engineers. With established strengths in solid mechanics, multiscale computational modelling, optimisation, and digital twin simulation, UNSW offers
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well-structured projects, secondments, and training activities. This comprehensive approach ensures that the candidates acquire the multidisciplinary knowledge and skills required to address real-world
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 5 days ago
of existing theoretical frameworks in solid‑state physics, electronic structure, lattice dynamics, and quantum transport, or development of new theoretical approaches in these fields, particularly for novel
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 18 days ago
. The Institute of Fluid Dynamics is conducting basic and applied research in the fields of thermo-fluid dynamics and magnetohydrodynamics in order to improve the sustainability, the energy efficiency and the
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workflow that maps first-principles electronic-structure data onto predictive atomistic spin-Hamiltonians and device-scale dynamical models. The candidate will run high-throughput, relativistic DFT