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California State University San Marcos | San Marcos, California | United States | about 2 months ago
to teach CS 311: Data Structures and Algorithms. This 16-week course will be taught in-person, from 8/31-12/12/26, schedule TBD. Course Description Teaches a thorough understanding of several advanced
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work has appeared as first- or co-first-author publications in Nature Cancer, Nature Genetics, and Cell Stem Cell, spanning statistical method development, cancer transcriptional regulation, and spatial
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that integrate rodent pain models, mouse genetics, circuit-level approaches, molecular and cellular assays, high-resolution imaging, behavioral phenotyping, and quantitative data analysis. This role will also
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algorithms for ultrasound simulation, imaging, and quantitative analysis Customize machine learning / deep learning methods for image reconstruction Conduct human studies of the algorithms and techniques in
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. Responsibilities will span all stages of research, including collecting data of in both tabular and spatial formats, developing algorithms that clean and organize data, conducting statistical analyses, running
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configurations and DNSSEC security validations. Implement the Kea DHCP service (or an equivalent solution) with a database backend. Develop APIs for migrating static data and test HA and failover algorithms
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working with our multi-disciplinary cancer specialty clinics and tumor boards. This individual will be expected to develop algorithms around national guidelines for disease specialties including hematology
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knowledge of adaptive optics systems, including wavefront sensors, deformable mirrors, and real-time wavefront correction algorithms. Familiarity with optical systems, particularly in high-resolution contexts
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statistics and data science -- including artificial intelligence -- the community pioneers emerging fields, develops the algorithms that power the information age, and is committed to creatively and
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disease challenges and drivers of antibiotic use in swine production. The goal is to identify genetic and regulatory factors that influence disease outcomes in S. suis and G. parasuis. These insights