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Field
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(NLP) algorithms applied to electronic health records (EHR) to understand cannabis-related harms in aging PWH and people without HIV. The position will entail collaborations with several investigators
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expanding the Food Compass algorithm according to the latest science, including expansion to include novel health-related bioactive attributes; Supporting ongoing work and manuscripts, including related data
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. Experience and PhD in Neuroscience, Computational Biology, Computer science, Statistics, Mathematics, or related fields. Key Responsibilities: Collaborate in Electrophysiological Data Acquisition and
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Foundation Health Model. As a PhD candidate, you will conduct deep-dive research into training pipelines and reasoning techniques for clinical foundation models. You will join an elite, interdisciplinary team
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optimization algorithms for complex trial design spaces. Required qualifications: A PhD or equivalent doctoral degree in biostatistics, statistics, applied mathematics, operations research, computer science
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. Duties/responsibilities Performing high level theoretical, and numerical research and data analysis (55%) Presentation publication, and proposal preparation (20%) Mentoring PhD and MSME students (10
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codes and process their results. Helping to develop new models and algorithms to simulate pulse propagation, the material response, and other aspects of our experiments. Coding in Julia and python. Take a
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 7 days ago
. Description: This opportunity is closed to applicants who are Senior Fellows (5-years or more past PhD). The forthcoming Atmosphere Observing System (AOS) mission aims to provide spaceborne observations
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packages, solve SLAM, use imitation learning algorithms to learn pick-and-place actions, design HRI experiments with users, evaluate data, and share the code and benchmarks in open repositories
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the project. What you will do Conduct original and high-quality research in machine learning and computer vision; Develop novel algorithms for adapting and specialising visual foundation models; Publish