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with cryo-EM/ET data processing, tomographic reconstruction, or related inverse problems in imaging. Familiarity with molecular dynamics simulations (e.g., OpenMM, LAMMPS) and/or synthetic data
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executed, ideally involving 3D image analysis, inverse problems, or physics-informed modeling. Cryo-EM/ET and computational structural biology projects are especially relevant. Discuss results, limitations
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, modelling, and understanding the function of the nervous system. The field encompasses hardware-oriented instrumentation, signal and image processing, data-driven and physics-based models, as well as clinical
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PhD in experimental soft matter, physics, fluid dynamics, or a related field; experience designing and developing microscopy and imaging techniques, in particular at high speeds; the ability to work
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research (https://www.kcl.ac.uk/scms ). We study the fundamental molecular, cellular, and physiological processes that underly normal and abnormal cardiovascular and metabolic function and we drive
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assays to uncover how ERG functions as an "immune gatekeeper" during both steady-state and inflammatory challenges. Ultimately, your findings will define a new roadmap for therapeutic targets to treat
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, quantitative image processing and data analysis. The postdoc will also contribute to the theoretical side of the project, developing models grounded in active matter physics, non-equilibrium statistical physics
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, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab
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correlative fluorescence-electron microscopy (NANOCLEM) Project description: Understanding biological processes requires a complex image, with multidimensional information about macro-, meso-, and microscopic
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-processing, the problems of aberrations and reverberations that generally pollute ultrasonic imaging (Bureau, 2003). Marine acoustic imagery is often faced with more deterministic multi-layer environments