1,975 computer-algorithm-"The-University-of-Edinburgh" positions at University of Washington
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to achieve the following objectives: 1. Characterize 3-D Urban Structure and Change: Utilize data from multiple remote-sensing platforms and deep learning algorithms to generate high-resolution maps of 3-D
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, physics, or a medical imaging related field. Experience with developing advanced pulse sequences or accelerated acquisition and reconstruction algorithms will be highly valued. Interested candidates should
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Description Primary Duties & Responsibilities: Implements: Algorithms and computer software for analyzing omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical]; Data management
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computational tools, pipelines, or algorithms to improve the accuracy and speed of genomic workflows, particularly for rare variants and noncoding regions. • Functional Follow-up: Implementing functional assays
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the infected organism will expose you to a diverse array of techniques and tools, as well as to rich intellectual diversity. Job Description Primary Duties & Responsibilities: Implements: Algorithms and
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to manage for platform algorithm changes and keep informed of emerging earned and paid optimization approaches. Measurement and Reporting Defining key program impact (KPIs) measures aligned to strategic plan
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). Prepares and reviews papers on research. Develops new algorithms for analysis of RNA FISH, DNA FISH, and neural connectome in situ sequencing technologies. Collaborates fluidly with other computational
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Primary Duties & Responsibilities: Develop, implement, and maintain computer algorithms for analyzing structural and functional MRI data for neuroimaging-related neuroscience research purposes, including
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JOB RESPONSIBILITIES Provide outreach and marketing of all program services related to hiring persons with disabilities. Assist other staff with job placement and provide direct service to assigned
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Position Overview School / Campus / College: College of Engineering Organization: Mechanical Engineering Title: Associate Professor, Tenure Track, in Quantum Information Science and Technology