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computer vision. Experience with multi-modal data fusion and alignment techniques. Experience with spatial transcriptomics or other -omics data analysis. Proficiency in Python programming and scientific
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.) • Experience with marker-less video tracking and computer vision • Experience with CAD design and 3D printing • Familiarity with relational databases (e.g., SQL) • Demonstrated success in collaborative research
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computed tomography (XCT) imaging of a variety of specimen types including irradiated fuel samples, analyzing the generated 3D XCT datasets to identify and quantify features of interest, and interacting with
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to contribute to cutting-edge research investigating the physiological and psychological impacts of spaceflight. Our program focuses on human analog studies to simulate microgravity and explore
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, computer simulations and experiments, both in fundamental and in more applied directions. The center works to advance the understanding of porous media by developing theories, principles, tools and methods
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technologies, computer vision, and perception Foundational knowledge of machine learning Experience developing custom tools and end effectors for robotic assembly Good knowledge of the CAD software Rhinoceros 3D
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implementation of deep learning and computer vision frameworks across a range of research projects. This includes developing and training deep learning models for tasks such as scene understanding, object
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in Northern Nevada. Dual Career Assistance Program College Information The University of Nevada, Reno College of Engineering continues its expansion with a bold new vision to contribute to national and
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advanced approaches in 3D/4D bioprinting, nanotechnology, smart materials, and stem cells for complex tissue/organ regeneration (such as cardiac and neural tissues), soft robotics, and various disease
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3D printing, machining, and other state-of-the-art fabrication technologies. Collect, prepare, and analyze research data; keep a detailed notebook summarizing experiments and recording research data