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University of California, Los Angeles | Los Angeles, California | United States | about 2 months ago
analytics techniques Clean, manage, and prepare research data (including electroencephalography (EEG) and magnetic resonance imaging (MRI)) for analysis Assist with algorithm development, optimization, and
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organisms, as well as computational analyses, aimed at understanding how changes at the level of DNA are shaped by molecular and evolutionary forces, and how these changes lead to all the observable
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, software and algorithms. Distinct from current computing approaches, which are powered by discretized mathematical operations running on digital transistor-based solutions, neuromorphic computing promises
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appropriate collective bargaining agreement. Salary is based on UC's salary scales. Areas of specialization include: Cognition, Perception, and Cognitive Neuroscience, Developmental and Evolutionary Psychology
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Posting Details Position Information Posting Number PG196045TM Position Number 11ASO3711 Position Type Temporary Essential Job Duties The Sheth evolutionary ecology lab in the Department of Plant
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algorithm development, countermeasure testing, and integration of C-UAS detect-and-identify systems. It supports research on RF sensing, direction-finding, and signal classification for UAS geolocation and
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 19 days ago
, studying atmospheric responses to episodic events, comparing ground-based observations with satellite datasets and atmospheric models, and developing new retrieval algorithms. Field of Science: Earth Science
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. Responsibilities include managing and analyzing complex datasets, supporting high-performance computing (HPC) environments, advancing algorithm and software development, and evaluating emerging computational
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developing or implementing artificial intelligence and machine learning algorithms for assay interpretation and sign-out are especially encouraged to apply. Please apply online , with a CV. The posted UC
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courses with minor algorithmic components and primarily programming courses with a focus on bioinformatics methods. Such graduate courses seek experienced bioinformatics, biotech, and data science