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Field
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, research, and develop autonomy algorithms that use sonar data operating in complex environments to avoid obstacles, aid multi-agent decision making and dynamically replan current tasking and sorties. Design
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-world solutions. The engineer will design algorithms, develop software, and integrate real-time and HPC sensing and communications systems. Major Duties/Responsibilities: Design and optimize signal
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develop technical solutions. Develop/change data input, files/database structures, data transformation, algorithms, and data output by using appropriate computer language/tools to provide technical
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of developing innovative, principled, and insightful leaders who change lives, change organizations, and change the world. The Data, Analytics, and Research Computing team (DARC) of the Stanford Graduate School
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sequencing and imaging data to facilitate the paper figures of lab members. Candidate will train on the labâ™s fundamental algorithms and run them in a collaborative manner with other team members to generate
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an active interest in contributing to our undergraduate game development program. Finally, we are looking for candidates focused on algorithmic theory with an emphasis on improving and expanding
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about related social, ethical, political, and economic impacts; Developing, deploying, and evaluating digital technologies in applications across diverse sectors critical to national security and societal
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Support for testing, data analysis, and data display Contribute to the research and development of unique algorithmic solutions for a wide array of sponsor requirements, with a focus on machine learning and
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on the development of artificial intelligence/machine learning algorithms to integrate multiple sources of patient-derived data, such as optical coherence tomography (OCT), retinal fundus photography (RFP), electronic
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figures of lab members. Candidate will train on the lab’s fundamental algorithms and run them in a collaborative manner with other team members to generate paper figures and make discoveries. Collaborative