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the intersection between quantum information and particle physics. The successful applicant will work in Professor Carlos Argüelles’ group on the development of new algorithms to encode and process particle physics
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computational methods and tools, including prior experience with algorithms relevant to computational biology, is a plus. ● Ability to work independently as well as part of an interdisciplinary team in a
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, employing state-of-the-art statistical techniques, managing and analyzing large datasets, and applying machine learning algorithms and large language models to derive meaningful insights. Interactions with
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data structures and algorithms Significant experience with one or more, and familiarity with, the coding languages we use (e.g. JavaScript, Python, Perl, Java, PHP) Git or other version control
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combine the operators above to fine-tune your results: +"artificial intelligence" algorithm +robot -machine → Shows results only if they include artificial intelligence (as an exact phrase) and robot, and
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algorithms and best clinical judgment in making decisions regarding anticoagulant dosage adjustments and patient re-evaluation Considers and refers any patient appropriate for independent INR monitoring
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include hierarchical regression models, latent factorization models, nonparametric Bayesian models, models for sequential data, mixture models, machine learning algorithms, and robustness to model
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image motion algorithms for a visual prosthetic. She received her doctorate in electrical engineering from Stanford University focusing on neural prosthetics and the brain control of healthy, naturalistic
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and Machine Learning, with a focus on studying geometric structures in data and models and how to leverage such structure for the design of efficient machine learning algorithms with provable guarantees
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preferred, and this can take various forms: working with large model simulations or large data, compiled programming languages, algorithms, etc. The position is an especially good match for candidates