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Field
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accurate completion. Algorithm Design: Design and implement algorithms for tensor completion, considering the unique challenges posed by sparse and multidimensional network data. This involves developing
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, array data, propagation data. Develop processing algorithms and assess their performance. Interpret results. Implement research grade software and analysis tools in Matlab including underwater
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modes (e.g., HCCI) for net-zero fuels like hydrogen and ammonia. A key innovative pillar is the development of an AI-driven control strategy. Machine learning algorithms, including reinforcement learning
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-sensitive data augmentation and mining Manage multiple stakeholders, meet deadlines, and integrate project outputs into DeltaXignia’s workflows with training Balance technical development and commercial goals
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authorized DoD SkillBridge partner and welcomes all transitioning military members to apply. You will: Design and conduct exploratory data analysis and hypothesis testing to support analytic objectives Develop
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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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with Git, GitHub, Slack, Docker, AWS, Circle-CI, webpack, npm and many others. Develop high quality and well documented code. Build CI/CD workflows to validate changes across multiple targets Profile and
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with Git, GitHub, Slack, Docker, AWS, Circle-CI, webpack, npm and many others. Develop high quality and well documented code. Build CI/CD workflows to validate changes across multiple targets Profile and
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site-specific and realistic radio propagation data through GPU-accelerated ray tracing to train AI/ML algorithms. Exploring the use of generative models for wireless channel modeling, e.g., to produce
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skills, including thorough familiarity with multiple programming languages, some experience in writing non-trivial programs, and familiarity with common algorithms, mathematical knowledge relevant