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Field
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD candidate will be hired by the CNRS and integrated
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assembly of foldamers often lack the mechanical properties required for their optimal performance as biomedical devices. Polymers have recently emerged as a promising class of materials for biomedical
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infrastructure, vehicles, and humans. Your responsibilities High-quality research on generative AI methods(LLMs, VLMs, diffusion models) with a strong connection to traffic simulation, autonomous driving, and
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Offer Starting Date 20 Jan 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer
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Steel , an exciting and collaborative research programme within the Dutch National Growth Fund, bringing together leading universities, research institutes, and industry partners to accelerate
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SD-26006 PHD STUDENT IN METAL DECORATED METAL OXIDE NANOSTRUCTURES FOR ENHANCED PLASMONIC LIGHT H...
metal oxide nanostructures — materials that combine metal nanoparticles (Au) with semiconducting oxides (ZnO, CuO) to boost optical absorption and opto-electronic performance. The project is part of a
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, psychology), the PhD student will gain the requisite experience for independent work. Students have access to world-class research facilities: High-performance computing is available to researchers via
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to design, optimise, and evaluate these systems with greater confidence. Your job Your tasks and responsibilities are: developing digital models that accurately predict the performance of FPV systems under
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modeling and computational tools, the project will establish process-structure-property relation- ships that connect LPBF parameters with microstructural evolution and mechanical performance. These insights
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for Postdoctoral Researchers/Research Fellows in the following areas: Areas of interest: Privacy and Compliance, User Experience; Computational Data Science and Applications; High-performance, Energy-efficient