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data driven approaches (experimental dataset physics based model dataset) to achieve process optimization, defect prediction and property prediction in various AM processes. The additional specific
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to their imperfect representation of ocean and sea ice interactions at sub-grid scales. This project aims to improve our physical understanding of these fine-scale processes, including the melting and breakage of sea
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Screen reader users may encounter difficulty with this site. For assistance with applying, please contact [email protected] . If you have questions while submitting an application
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23 Sep 2026 Job Information Organisation/Company Gustave Roussy Department INSERM U1279 Research Field Biological sciences » Biological engineering Physics » Biophysics Engineering » Biomedical
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reading groups, contribute to workshops and conferences, and help build connections between mathematical physics, theoretical physics, history and philosophy of physics. There is considerable freedom
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Explore fundamental spin physics at the interface of acoustics and MRI, and help develop a new imaging contrast sensitive to microscopic magnetic-field inhomogeneities. Job description We
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systems. Spectroscopy, hyperspectral imaging, remote sensing, IoT, and process measurements are important data sources within this broader framework rather than requirements defining a single experimental
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who maintain exceptional cognitive and physical function. We aim to understand the links between vascular brain function, neural plasticity measured through EEG, and biomechanical control of standing
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Please refer to the How to Apply for a Job (for External Candidates) job aid for instructions on how to apply. If you are an active McGill employee (ie: currently in an active contract or position
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: Develop AI-assisted experimental workflows for oxide semiconductor deposition, aiming to accelerate process optimization and unravel new process–property relationships, and contributing to an EU Horizon