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University of California San Francisco | San Francisco, California | United States | about 1 month ago
. Applicant materials must list current and/or pending qualifications upon submission. Preferred Qualifications: PhD in biomedical imaging, applied mathematics, engineering, computer science, or related field
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for robotics, water research, imaging, 3D-printing and fabrication, and others. In addition, the Engineering Division of NYUAD has close collaborations with the faculty and students at the NYU Tandon School
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of atomically precise building blocks and advanced materials (3) Atomic scale electronic devices: prototype devices design and advanced processing technology. These areas aim to explore development from atomic
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as possible, and will focus on large-scale cardiac image analytics. Applicants should hold, or be about to obtain, a PhD (or equivalent) in physics, engineering, computer science or applied mathematics
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to know your total compensation? Use our calculator to get the complete picture! Summary The Department of Electrical and Computer Engineering (ECE) at the University of Colorado Colorado Springs (UCCS
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or voltage imaging and behavior data Create robust analysis pipelines to process large-scale time-series datasets Test and develop new methodologies to extract meaningful patterns from complex neural data
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maintenance of instruments and computer systems, as well as assisting researchers in preparation of EM samples, data collection, and image analysis. You will also act as a coordinator for ongoing facility
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maintenance of instruments and computer systems, as well as assisting researchers in preparation of EM samples, data collection, and image analysis. You will also act as a coordinator for ongoing facility
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questions. We have particular strengths in membrane proteins and RNA biochemistry and are pioneers in all areas of biophysics, structural biology, biochemistry, and protein engineering and design. Please
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project collaborators and contribute to the wider research activities of the CEI, where required. Skills and Experience Essential: A PhD in Physics, Engineering or a closely related subject. Good