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Field
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learning-assisted computational pipeline for the automated detection of point defects in atomic-resolution scanning transmission electron microscopy (STEM) images. Using monolayer MoS₂ as a model system, the
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Analysis of Economic Impacts of Ultra-Processed Foods to lead quantitative research on the economic impacts of ultra-processed foods, managing and analyzing large, complex datasets to generate robust, policy
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schizophrenia. In addition to making fundamental discoveries (e.g. how thalamocortical interactions implement attentional control and task switching), we aim to understand these processes well enough to develop
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University of Maryland School of Medicine, Baltimore | Baltimore, Maryland | United States | 3 months ago
positions. The successful candidate will join a multidisciplinary research team investigating novel immunotherapeutic strategies to treat solid cancers caused by chronic HIV infection and inflammatory
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to: Contribute to development and deployment of particle imaging systems for use in breaking waves, both in the field and in the lab Contribute to analysis of images, and development of the open-source analysis
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, working closely with other project participants on field measurements, laboratory work and model development. The candidate will be expected to: Contribute to development and deployment of particle imaging
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on the Black Hole Explorer (BHEX) mission which will conduct Space Very Long Baseline (VLBI) observations of black holes, with the goal of producing the highest resolution image to date of the black hole and its
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, prototype and evaluate novel rehabilitation technologies including wearable, neural interface and robotic systems contribute to competitive grant applications, ethics submissions and project reporting publish
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) learning numerical methods for wave-equation-based processing, imaging, and inversion. Wave phenomena are ubiquitous in science, and they extend to objectives ranging from global Earth discovery, to natural
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to declare if you have been investigated for, or found to engaged in, sexual harm or gender-based violence in the course of previous employment or in a legal process. Similarly, your ongoing employment is