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computational approaches that integrate process-induced stresses into the structural design stage. Project goals The objective of this PhD project is to develop a topology optimization framework for LPBF
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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
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. This laboratory is one of the structuring forces of the landscape of materials and their applications in the academic and industrial worlds, both regionally and nationally. For more information on the IS2M, please
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. The candidate will receive close supervision and structured mentoring to support career development. The University of Caen Normandy offers a dynamic academic environment and a high quality of life, with
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 11 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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to identify the role of ERG in lymph node maintenance. Throughout, you will develop advanced analytical skills and benefit from a dynamic and collaborative research environment. What we are looking for: We
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mechanics, aerospace structures, laminated composite materials, computational mechanics, machine components design, aerodynamics, computational fluid dynamics, aircraft design and aircraft optimal design. To
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consortium, translating complex CFD results into actionable insights for structural and control engineers. Where to apply Website https://www.academictransfer.com/en/jobs/359872/postdoctoral-researcher-high-fi
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Republic, invites applications for tenure‐track positions in Computer Science and related areas fitting and/or expanding some of its current research areas. The Complex Networks and Brain Dynamics group (https
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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