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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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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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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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algorithms that run continuously and emit alarms to apps and other tools that could potentially save lives in the event of a large earthquake anywhere across the entire west coast of the U.S. and further as
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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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algorithms for mathematical reasoning. Join us at Caltech and contribute to pioneering research that pushes the boundaries of AI and mathematical reasoning. We look forward to receiving your application. We
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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