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                Field
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                and image processing. Prior experience with data fusion, machine learning, or super-resolution methods will be considered an asset. Candidates should be motivated to conduct independent scientific 
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                The Department of Electrical & Computer Engineering (ECE) at The University of Alabama is recruiting motivated PhD students to join our cutting-edge research program.Qualified applicants can 
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                one of the following areas: scientific programming and data analysis (e.g., Python, R, C++, MATLAB), computational modeling, imaging and sensor data processing, bioinformatics, systems biology, or 
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                crystallization happens in a device and how does this impact power output? How can Magnetic Resonance Imaging (MRI) and X-ray Computed Tomography (CT) be used to visualize and analyze in-situ processes (e.g. phase 
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                to join our team, which is working in close collaboration on the development of our real AI-based automated shuttle (see image) with Autoware -stack for deployment on public roads, while researching 
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                , and regulate plasticity. We use cutting-edge methods (multi-omics, single cell, live cell imaging, modelling, chromatin biochemistry as well as various developmental, stem cell, and cell biology systems 
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                reconstitution, cell biology, and fluorescence microscopy imaging tools, we aim to uncover how protein-membrane interactions promote membrane microdomain formation and how these structures respond to external 
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                is expected to soon be able to diagnose diseases occurring outside the retina. OCT images can be aberrated by the eye itself and imperfect optical design. Ocular imaging with adaptive optics promises 
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                simultaneous stimulation of these processes increases aggregate clearance. This project will employ a combination of advanced cell biology, molecular biology, live-cell imaging, and proteomics approaches. Your 
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                results. You will join the Section for renewable energy and forest sciences and conduct cutting‑edge research using remotely sensed point‑cloud and image data to map forests. The position is part of two