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Field
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Fellow. This role offers the chance to be at the forefront of innovation in chemical biology, with a focus on developing cutting-edge tools for molecular sensing and imaging. Under the guidance of Dr
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. Responsibilities will include image data processing and analysis of PET data, and may include fMRI or DWI (MRI) data processing and analysis in tandem with PET data. Opportunities exist for integration of imaging
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into the design of a prototype implant to be tested in large animals. The Neural Engineering and Ophthalmology research environments are excellent. The Neural Engineering Training Program and the Vision Research
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are to optimize intraretinal stimulation. Using novel carbon fiber array technology, we will stimulate inner retina cells and record evoked responses using imaging and electrophysiology. Multi-channel stimulation
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metrology, with expertise in quantum state discrimination and parameter estimation and/or in-process metrology and conventional optical microscopy, as well as image processing and model development
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to develop magnetic resonance imaging (MRI) methods to advance electrochemical flow technologies, which are emerging as promising more-sustainable solutions for the global challenges of energy storage
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of the following areas is an advantage: Modelling and simulations of flow in porous media. Programming, image processing and machine learning Personal and relational qualities will be emphasized. Motivation
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. Yuan and Dr. Wei in the Department of Computer Science at Boston College are seeking highly motivated postdoctoral fellows to join an interdisciplinary team advancing the frontiers of biomedical image
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ligase activation Characterize the polyubiquitin architectures assembled and identify their downstream effectors Develop novel E3 ligase activity-based imaging technologies This position offers a unique
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational