73 high-performance-quantum-computing-"https:"-"https:" PhD positions in United States
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background in Computational Biology/Genetics/Genomics/Bioinformatics/Molecular Biology. Candidates with expertise in applying AI/ML to high-throughput omics data, processing, and curating large-scale omics
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implementation of data quality assurance plans. · Perform day-to-day oversight in program evaluation and primary data collection activities, including large survey mailing, face-to-face and telephone
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A1096 Working Title PhD - Research Assistant - Computer Science Location Edinburg, Texas College College of Engineering and Computer Science Department College of Engineering and Computer
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initially be for one year, renewable for additional years following performance review and funding availability. Basic Qualifications Ph.D. in computer science, applied physics, applied math, or a related
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an exceptional candidate for a full-time Research Assistant Professor (RAP) in Advanced Manufacturing, High-Temperature Composites, and Intelligent Materials. Housed in the Department of Aerospace and Mechanical
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Job Description Apply now Req Id: 38314 Job Title: Post Doc Research Associate City: West Lafayette Job Description: Job Summary Position Summary: The 2D Quantum Materials and Devices Lab, led by Dr
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program and publish in high-quality peer-reviewed journals. Percent of Time: 30% Play a leadership role in designing and implementing the New England Agroforestry Training program, as well as supporting
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for data analysis both locally and as part of the CMS computing Grid. The position offers exciting possibilities in the analysis of the new 13.6 TeV collision data towards quantum tomography of top quarks
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analysis both locally and as part of the CMS computing Grid. The position offers exciting possibilities in the analysis of the new 13.6 TeV collision data towards quantum tomography of top quarks
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to develop and publish innovative computational methods and to contribute to high-impact translational studies of autoimmunity. Our overarching goal is to define the genetic underpinnings of autoimmune skin