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Accelerated AI Algorithms for Data-Driven Discovery (A3D3; https://a3d3.ai). We are seeking a post-baccalaureate research fellow (Postbac Researcher) to join our interdisciplinary team of scientists and
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a Research Engineer to help us develop the next generation of autonomous systems and algorithms for Earth and space applications. Our group doesn't just develop new theories, but puts them to the test
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algorithms for Earth and space applications. Our group doesn't just develop new theories, but puts them to the test in the real world. From the famous walking/flying hybrid LEO, to AI/ML controls, supporting
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Machine Learning. Apply scientific knowledge to develop the full algorithm for using Generative Adversarial Networks to generate virtual examples for training neural-network models. Investigate, analyze
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Machine Learning. Apply scientific knowledge to develop the full algorithm for using Generative Adversarial Networks to generate virtual examples for training neural-network models. Investigate, analyze
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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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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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mathematics. Develop and implement machine learning algorithms, with a focus on reinforcement learning, to solve challenging mathematical problems. Collaborate with other team members to advance the research
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the progress of experiments over time. Creating graphs, charts, tables, and other visual representations of data. Planning research projects. Writing proposals and grant applications. Developing statistical
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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