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, organismal, or systems-level immunology, including in vivo models, advanced imaging, single-cell or multi-omics methods, or computational immunology. The successful candidate will be expected to establish
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biology, reef ecology or related fields. Demonstrated fieldwork experience/skills on coral reefs (e.g., diving, deploying instruments, underwater data and sample/image collection; operating research vessels
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University of California San Francisco | San Francisco, California | United States | about 1 month ago
. The primary research area will focus on applying advanced multimodal brain imaging, machine learning, and signal processing methods to evaluate patients with autism and related neurodevelopmental and genetic
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strategies in the generation of an appropriate public image for the Distributed Wind Program. Set Distributed Wind Program team goals with support from direct supervisor, NREL program staff, and subcontractors
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degree in Computer/Computational/Data Science, or Domain Sciences with computer/computational/data specialization or equivalent experience. Required Terminal degree with extensive research experience in
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Policies and Procedures; and will demonstrate a knowledge of the human structure and functions, patient care, positioning, principles of electromagnetic and computer sciences, magnetic protection, and
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field or the equivalent combination of education and experience; Demonstrated experience working in a fast-paced, customer-oriented environment; Demonstrated experience using computer systems; Skill in
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integrates CRISPR-based genome engineering, quantitative and live-cell microscopy, biochemistry, and computational analysis to dissect how cells sense and respond to replication-associated threats. Recent work
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Recognition, Image Processing, Natural Language Processing, Virtual Reality and Game, Robotics, Software Engineering, Programming Languages, Multimedia, Computer Graphics, and Visualization, etc. Job
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Electrical Engineering, Computer Engineering, Mechatronics, or related field Practical experience with microcontrollers (e.g., ESP32, Arduino) Familiarity with common communication protocols (e.g., I2C, SPI