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Field
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candidate will focus on developing algorithms that enable the fitting of glycans and other flexible protein regions into low-resolution areas of cryo-EM maps. Working in close collaboration with
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of such systems, but this is driven from the fundamental theoretical knowledge that underpin them. What you would be doing: You will be co-creating new models, algorithms and schemes to advance the field of joint
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Make a Difference at Grand Canyon University The College of Engineering and Technology employs faculty and faculty leaders who are passionate about engaging and mentoring students to best prepare
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development and application of novel algorithms and machine learning/AI techniques for extracting insights from biological data sets (genomics, proteomics, imaging, neuroscience), and related areas
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: Conducting research in the field of determining the technical condition of aircraft structures, with particular emphasis on non-destructive testing. Development of test programs, methods, algorithms and
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resolution. The development of new imaging modes will also require new acquisition and computational processing techniques, and you will work closely with the theory and algorithmics project group. Ultimately
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-t'ukpyolsi 02455, Korea, The Republic of [map ] Subject Area: Physics / Any Appl Deadline: 2025/09/19 11:59PM (posted 2025/08/18, updated 2025/08/17, listed until 2025/09/19) Position Description: Apply
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engaged teaching and research, as well as proven experience related to the specialization areas listed below. Although we are looking for a technical profile, a strong interdisciplinary interest is an asset
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of such systems, but this is driven from the fundamental theoretical knowledge that underpin them. You will be co-creating new models, algorithms and schemes to advance the field of joint sensing and communications
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candidate will investigate new algorithms and models to develop, implement, and test multimodal machine learning algorithms to analyze and recognize multimodal human behavior in real world settings. Specific