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seeking an ambitious Postdoc with expertise in machine learning, computational imaging and/or spatial transcriptomics to develop novel approaches for the quantitative analysis of neuropathology
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for Theoretical and Physics-Informed Modelling . We seek a highly motivated and well-qualified candidate with a strong background in theoretical and computational physics, with expertise in physics
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epidemiology, climate policy, sustainability, and global health through course works, training modules, and direct supervision. · Candidates with interdisciplinary backgrounds who employ computational
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propagation, photonics, or semiconductor physics Experience with scientific programming and data analysis (Python, MATLAB, or similar) Motivation to combine computational modeling with experimental