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computing (Rust, C, C++). Algorithm development for radio astronomy heterogeneous high-performance computing (CUDA, OpenCL) Basic Qualifications Bachelor's degree in EE or Physics. 5 years experience in
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of the LIGO Scientific Collaboration. Develop techniques and algorithms to characterize and remove other non-environmental noise sources. Study noise couplings, high-power operations, and thermal compensation
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into detector systems. Evaluate optimal sensor placements and perform coupling measurements before and during each observation run of the LIGO Scientific Collaboration. Develop techniques and algorithms
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research experience. Strong mathematical fundamentals and algorithms skills or experience. Excellent programming, debugging, performance analysis, and test design skills. Ability to work independently
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. Requires ability to run processing and analysis algorithms using tools such as Python or Matlab. Must be fluent in LINUX. Must have experience in processing large volumes of DAS data. Proactive, self-starter
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research experience. Strong mathematical fundamentals and algorithms skills or experience. Excellent programming, debugging, performance analysis, and test design skills. Ability to work independently
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learning (RL), to tackle complex research-level mathematical problems and to innovate new algorithms for mathematical reasoning. Essential Job Duties Lead and manage research projects within the AI and
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running as expected and carries out maintenance activities, working with the scientists and engineers on the team. Essential Job Duties Participate in pipeline team meetings and develop code from algorithms
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findings. Basic Qualifications Bachelor's degree in Computer Science, AI, Applied Math, or a related field. 3 years of relevant scientific research experience. Strong mathematical fundamentals and algorithms
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analyses, and data visualization. Application of latest developments and algorithms from computer vision and machine learning to spatial data analyses in geosciences. Experience working with satellite