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Protein Expertise Platform, X-ray, proteomics, NMR (850-400 MHz), cryo-EM and Biochemical Imaging Centre (confocal, SIM, FLIM, spinning disk, TIRF, STORM). Project description Autophagy is an evolutionarily
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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assays High-resolution cell imaging and microscopy Data analysis and integrative computational approaches This combination of expertise will prepare you for an independent academic career or leadership
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, including single-molecule imaging, biochemical and biophysical approaches. The post holder will be an integral member of the Gruszka Lab providing crucial support in image processing and quantitative data
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function and other surgical procedures, as well as microscopes and vibratomes for tissue imaging and processing. Neighboring labs are positioned adjacent to and in contact with the lab so the employee should
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studies in cardiac arrhythmia research. This position involves conducting a variety of laboratory experiments, including immunohistochemistry, tissue imaging, western blotting, and mouse colony maintenance
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Postdoctoral Associate AI and MRI Required Qualifications: (as evidenced by an attached resume) Doctoral Degree (or foreign equivalent) in Electrical and Computer Engineering, Computational Science
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the field of Systems Biology and Biomedicine - in the lab, in the clinic and in silico. We focus on neurodegenerative processes and are especially interested in Alzheimer's and Parkinson's disease and their
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Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how