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Field
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RAP opportunity at National Institute of Standards and Technology NIST Machine Learning for Autonomous Genetic Engineering of Microbial Systems Location Material Measurement Laboratory
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research scientist. This is a unique opportunity to contribute to cutting-edge research in super-resolution cavitation mapping. You’ll work on computational projects that involve developing algorithms
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, file system implementations, I/O, deadlocks, distributed systems, synchronization, distributed file systems, case studies. Graded ABCDE CSC 575 - Algorithm and Complexity Analysis Graduate standing. (4
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genotypic information with neuroimaging phenotypes for research questions in neurology, psychiatry and developmental neurobiology. The Imaging Genetics Center (http://igc.ini.usc.edu ) in Marina del Rey
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Transfer project (STTR) funded by the National Science Foundation. The successful candidate is expected to support the development, simulation and testing of model-free algorithms for real-time optimization
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eligible for an appointment as a Teaching Assistant for Winter 2026 term, applicants must be enrolled in a McGill graduate program in Winter 2026 term. Hiring Unit: Department of Human Genetics Course Title
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sequences and related datasets, implementing algorithms, and analyzing high-throughput data for empirical research. The Research Technician will have the opportunity to contribute innovative methods and data
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scalable machine learning algorithms for a variety of research projects. Manages project teams and junior staff, leads task supervision and quality oversight. Works with partners to identify analytical
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electrode arrays - 20% data analysis with advanced methods such as multiple regression, fourier domain algorithms, modern statistical approaches - 5% paper preparation including writing text, making figures
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: Ability to use data visualization tools Advanced knowledge of data querying languages, and statistical or mathematical software Advanced knowledge in writing algorithms, and knowing when to apply them