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Field
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of computational biology and bioinformatics; Research and stay current with project related scientific literature; Develop and validate new algorithms and tools to accomplish scientific objectives; Identify and
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contributors to UC?s success. Job Overview The Department of Computer Science is dedicated to educational excellence and developing and sustaining premier research programs with national and international
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the Novo Nordisk Foundation, that will drive research and innovations at multiple levels - from developing scalable quantum processor technologies to solutions for the quantum-classical control and readout
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at the intersection of neuroscience and AI, with opportunities for innovation and collaboration across multiple disciplines. Candidates are expected to have experience in cutting edge AI technologies and their
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to join a multidisciplinary team working on the development of energy-efficient, fault-tolerant AI systems resilient to space radiation. This collaborative project spans multiple levels of research
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% Trains individuals and groups on equipment operations, research protocols, and techniques within a specialized laboratory or research area 10% Assists with the development of research methodologies and
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development and success of our computer science program. The successful candidate must reside in Washington State by the start of the position and demonstrate a strong commitment to teaching in person
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to join a multidisciplinary team working on the development of energy-efficient, fault-tolerant AI systems resilient to space radiation. This collaborative project spans multiple levels of research
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healthcare access and outcomes for high-risk patients. The postdoctoral researcher will play a key role in translating machine learning algorithms into professional software with an intuitive user interface
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technological progress in our increasingly digital, data- and algorithm-driven world. Integreat develops theories, methods, models, and algorithms that integrate general and domainspecific knowledge with data