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Field
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engineering or generative protein design. Quantitative Imaging: Apply advanced microscopy and image analysis pipelines to measure biophysical dynamics in living cells. Output & Mentorship: Drive the publication
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, serum, urine, and other biological samples. Integrate multi-modal datasets to uncover mechanisms underlying kidney disease progression and treatment response. Apply advanced microscopy image analysis and
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in the Phi_Lab, led by Dr. Azeem Ahmad, and will focus on the development of advanced reconstruction algorithms and next-generation quantitative optical microscopy and tomography systems for imaging
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biology, biological data science, multi-omics, imaging, modelling, and AI-driven approaches PhD candidates will benefit from: Access to state-of-the-art experimental and computational platforms Strong
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of your PhD, you may still apply if you have submitted your PhD thesis for doctoral degree evaluation within the application deadline. Demonstrated research experience in optical imaging, quantitative phase
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models, focusing on industrial image analysis Develop advanced deep learning methods for power battery inspection models Design and implement novel algorithms for AI-based CT imaging Lead experimentation
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Details Title Postdoctoral Fellow in Imaging Approaches to Measuring Brain Energetics School Faculty of Arts and Sciences Department/Area Human Evolutionary Biology Position Description We seek a
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Primary Purpose: We are seeking a highly motivated Postdoctoral Fellow to join a multidisciplinary research program focused on developing a novel ultrasound molecular imaging contrast agent
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work with modern molecular profiling (e.g., single-cell and spatial transcriptomics, ATAC-seq) and quantitative imaging (including confocal microscopy). Start date is July 1st, 2026. Responsibilities
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-management) and direct-conversion detection pathways. The role will coordinate materials/device fabrication, characterization and imaging validation (e.g., MTF/SNR, low-contrast detectability), align workplans