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) from public repositories (including dbGaP). Develop and apply machine learning algorithms to associate patterns in the data with cancer progression and therapeutic responses in cancer patients
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comprehensive capabilities in conducting sophisticated fluid dynamics data analysis. This job includes aerospace-related machine learning algorithms. Specific duties include data analysis from wind tunnel
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comprehensive scheduling algorithms) and handle sensitive information with confidentiality. Ability to work independently on a wide variety of tasks – both simple and complex - with minimal supervision and
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the areas of dark energy, exoplanets and infrared astrophysics. It is slated for launch in 2026. The Roman Science Support Center (SSC) at IPAC is a part of the Roman Ground Data System, providing algorithm
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(SSC) at IPAC is a part of the Roman Ground Data System, providing algorithm and software development for spectroscopic and Galactic Bulge Time Domain Survey data processing. In addition, the SSC will
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with a strong understanding of algorithms and software design patterns is a must, with the ideal candidate having experience configuring AV hardware control systems. Support will include calibration and
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a focus on quantum information theory, quantum algorithms, and the theoretical underpinnings of quantum computation. This role involves developing mathematical models, conducting rigorous theoretical
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, Javascript, and SQL. Experience in front end and back end development. Computer Science fundamentals in data structures, algorithm design, problem solving, and complexity analysis. Knowledge of professional
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revealing mechanisms and therapeutic targets of early pre-malignant development of ovarian carcinoma, novel big data approaches, and development of early detection/screening tests/algorithms of ovarian cancer
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precipitation observation on the global scale. The Mesoscale Atmospheric Processes Laboratory at Goddard Space Flight Center leads research aimed at algorithm improvements to create state-of-the-art global