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University of California San Francisco | San Francisco, California | United States | about 1 month ago
: 87278BR The Staff Research Associate I/2 will support research in the Dunn Lab focused on understanding how visual information is processed in the retina and how these processes are disrupted in disease
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the College of Visual and Performing Arts (CVPA). The position supports faculty and students by maintaining digital and traditional art equipment, managing supplies, and promoting a safe, well-organized
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Website https://sede.upv.es/oficina_tactica/?idioma=en#/inicio Requirements Research FieldArts » Visual artsEducation LevelPhD or equivalent LanguagesSPANISH Additional Information Work Location(s) Number
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high-throughput sequencing data analysis, statistical analysis and visualization of complex biological data; experience with laboratory work and the experimental methods of molecular biology is an
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are passionate about building a positive environment to grow and groom future business leaders. And we are looking to add to our BIZ family! To learn more about the NUS Business School, please visit https
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for drone swarms. The role will focus on multi-agent visual perception techniques. Group website: https://personal.ntu.edu.sg/wptay/ Key Responsibilities: Develop signal processing and machine learning
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creating user-friendly reporting and visualization products in Power BI, Tableau, and other enterprise tools. The developer will work across legacy data sources (Banner, Workday, Salesforce, ServiceNow, and
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: 100 Lbs. or more Physical Environment: Inside medical Facility Noise Level: Moderate Visual Requirements: Color discrimination, Depth perception, Far visual acuity Near visual acuity Hazards: Biological
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mechanical engineering, ophthalmology and visual sciences, mechanical design, manufacturing and automation or a related discipline, with experience in data science, coding, image analysis, and statistical
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enables visualization of individual red blood cells, vessel walls, and the functional response of photoreceptors with millisecond temporal precision. It offers an unprecedented opportunity to study the