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and Applied Sciences Department/Area Electrical Engineering/Computer Engineering/Computer Science Position Description Project Deep learning plays an essential role in the operation of an autonomous
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or high-performance computing (HPC) environments Experience with machine learning applications in transcriptomics and proteomics. Experience with clinical data types such as electronic health records (EHR
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Carnegie Mellon University is a private, global research university that stands among the world’s most renowned education institutions. With ground-breaking brain science, path-breaking performances
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computing AI on High-Performance Computing (HPC) cluster. Examples on areas of research interest include but are not limited to: Vision transformers. AI foundation models. Computing and energy-efficient
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, problem-solving, and brainstorming. Primary Functions Serve as program assistant for Center projects. Aid on multiple active grants at CAPS as needed. Perform data collection during patient initial visit
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development of detectors sensitive to ultra-high dose rates. Developments of computation methods for small-field dosimetry, radiation detection systems used in photon, proton, and electron beam radiation
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within the Department of Microbiology working 40 hours a week. Under general supervision, the candidate will perform a variety of scientific tasks that are well defined. Perform routine to complex
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 6 hours ago
of the high-energy radiation environments of stars that host the majority of known planets in the habitable zone. Over its one-year primary mission, SPARCS will perform long-duration stares (5–40 days) of ~20
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. Ensure timely, complete, and accurate data entry and reporting. Perform other duties as assigned. Hourly Range : $15.00 - $19.66 Qualifications Qualifications Associate's degree in related field OR High
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collaboration with the study investigators; performing modeling, subgroup analyses, and sensitivity checks; interpreting findings in the context of clinical relevance; and contributing to manuscript development