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technologies research in AIBN and at UQ. You will have research expertise in the use of computational chemistry and software development, with the capacity to apply these methods to research questions related
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by ARPES, pursue scalable wafer-scale moiré epitaxy, develop epitaxial superconductors for quantum computing and integrate machine learning for automated high-throughput MBE. We are particularly
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(France) will be an important part of the project. What you will deliver: Develop and Implement Multicellular Models: Build and integrate high fidelity interface models in the Chaste framework linking
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Postdoctoral Fellow in Neutrino Astrophysics Position in the School of Physics - Otte Research Group
performance requirements of Trinity One. In addition, the candidate is expected to develop a strong and visible research program that connects Trinity’s neutrino observations with the broader multi-messenger
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-edge projects aimed at improving sustainable transportation networks using advanced computational techniques, data analysis, and artificial intelligence. We seek candidates specializing in the following
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topics such as statistics, high performance programming, machine learning and using data to constrain cosmological models. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs
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supervision of Asst Prof Meng Xin from the Department of Civil and Environmental Engineering. This position is part of an exciting research programme aimed at advancing the multi-robotic wire-arc directed
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | about 2 months ago
Status Full-time Hours Per Week 35 Offer Starting Date 23 Feb 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number Fellow_BI/FCT_Proj2025/i3S
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program, through generation of high-quality publications and conference presentations. In addition, this position will contribute to the preparation of applications for externally funded research funding
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mathematics, geophysical fluid dynamics, and polar/environmental science, supported by excellent high-performance computing facilities. The Department of Mathematics and Statistics, in particular, is a vibrant