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The Neuron Signaling Lab at National University of Singapore is seeking a motivated and skilled Research Fellow to join our interdisciplinary neuroscience team. We use advanced optical imaging and behavioral analysis to uncover how molecular pathways shape brain function, aiming to bridge...
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Humanities at Loughborough University is seeking to appoint a full-time research assistant to work on a project entitled ‘Stuck in the mud: addressing the fine sediment conundrum with multiscale and
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different but related research projects, with the following titles: Density functional theory and multiscale modelling of defects in ferromagnets Modelling surface chemistry and defects in quantum devices
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₂ storage. In this role, you will develop multiscale geomechanical and/or geodynamic tools and workflows to assess underground gas geo-storage at basin and field scales, with applications in both data-rich
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-efficient modelling for complex multiscale flow phenomena relevant to coastal engineering, turbomachinery, and additive manufacturing. This position is central to advancing AI-augmented fluid dynamics and
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the CIFAR Multiscale Human Program (MHU), providing access to a global network of collaborators and resources at the frontier of human developmental and computational biology. This post-doctoral fellow
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bioengineering, machine learning, and systems immunology, our team aims to accelerate discovery and translation in regenerative medicine and immune engineering technologies. The lab is part of the CIFAR Multiscale
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to collaborative efforts aligned with translational and commercial development goals, including work supported by the CIFAR Multiscale Human Program and UBC’s Biodevice Foundry. Qualifications PhD in immunology
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, and in vivo models. The successful fellow will also contribute to collaborative efforts aligned with translational and commercial development goals, including work supported by the CIFAR Multiscale
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to assess the performance of PIML models. § Assessing uncertainty in the predictions of PIML models. § Developing systems for multiscale modeling of atomic layer deposition processes. § Developing