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of time-varying photonic metamaterials. First-principles mathematical modeling of optic-wave physics in canonical geometries under space-time-varying polarization responses. Computer programming and
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Research Assistant (m/f/d) with a Ph.D. in Civil Engineering, Engineering Physics, Physics, Mathemat
To strengthen our team in the division 7.7 “Modeling and Simulation” in Berlin-Steglitz, starting 01.07.2026, we are looking for a Research Assistant (m/f/d) with a Ph.D. in Civil Engineering
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Institut de Recherche pour le Développement (IRD) | Sete, Languedoc Roussillon | France | about 2 hours ago
the job funded through the EU Research Framework Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description IRD is a multidisciplinary
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7 Apr 2026 Job Information Organisation/Company Technical University Of Denmark Department DTU Civil and Mechanical Engineering (DTU Construct) Research Field Engineering Computer science Researcher
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Welcome to the Universiteit Maastricht The world is rapidly changing, and
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temporal scales from seconds to hours and beyond. The aim of this PhD project is to build a multi-scale model linking molecular renewal to functional properties of synapses to study the relationship between
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Mechanical Engineering, Materials Science Engineering, Applied Mathematics or Computational Mechanics. Solid background in continuum mechanics and advanced plasticity modeling Strong interest in micromechanics
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manner, in order to achieve the accuracy of high-fidelity simulations while maintaining computational tractability. This is the objective of multi-fidelity modeling. This PhD position is funded through
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will develop an integrated framework combining computational fluid dynamics (CFD) with quantum gas LiDAR measurements to improve the quantification of methane emissions. The central research question is
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remove the influence of specific data from trained models becomes critical. Yet, despite the EU’s General Data Protection Regulation (GDPR) enshrining a “right to be forgotten”, current federated learning