57 postdoctoral-soil-structure-interaction-fem-dynamics PhD positions at Technical University of Denmark in Denmark
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Center (CoaST). These facilities are now equipped with modern graphical user interfaces, unified communication protocols, and structured data pipelines that collect and store experimental data in dedicated
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well as synchrotron X-ray sources. By obtaining multi-scale (spatial resolution as well as time-resolution) information about the transformation dynamics in zinc-air electrodes and follow quantitatively
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push the boundaries of green innovation and contribute to a healthier planet, we invite you to apply and become part of a dynamic research team at the forefront of sustainable extraction technologies
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. This Ph.D. project is focused on experimental investigation and realization of advanced quantum photonic devices, based on crystal-phase structures in nanowires. This is a recently developed technology
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partners are: Visibuilt (a start-up company), DTU Sustain, and Munck Asfalt (a road construction company). Project description and tasks This PhD project includes a combination of modelling, coding, field
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, at the DTU department of Applied Mathematics and Computer Science, section for Dynamical Systems. Furthermore, this is an Alliance PhD position, where you will have the privilege to benefit from two
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within the broad topics of modelling tool-workpiece interaction in mechanical material removal processes, zero-defect manufacturing, machining system performance characterization as well as on-machine and
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merit and even better is knowledge of adaptive control, machine learning and AI. But the most important qualification is an eagerness to learn the mysteries of fuel-combustion-engine interaction. You must
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metal-organic framework (MOF) structures, enabling them to exhibit rapid and cooperative responses to external stimuli such as temperature, pressure, and light. This conceptually new class of chameleonic
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with researchers at DTU and KTH, you will help develop an integrated decision-support system that: Uses real-time sensor data and AI models to assess risk scenarios. Dynamically recommends optimal