1,121 high-performance-quantum-computing-"https:"-"https:" Postdoctoral positions in United States
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scientists, roboticists. The project will focus on developing an integrated autonomous lab system for strucutre-property characterization of novel materials heterostructures for quantum and microelectronics
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entered. Failure to provide all job application data could result in an invalid submission and a rejected application. Compensation Philosophy: Recruit and retain high-performing workforce through
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engineering, analytical chemistry, and computational methods for analyzing sequence information and molecular structures is required to perform research tasks A background in food science or food technology is
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on the WEST tokamak at CEA/IRFM in France. Activities would include participation in the design, assembly, testing, installation, calibration and operation of a high-resolution imaging crystal spectrometer
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similar to the NIH stipulated stipend guidelines for Postdoctoral Associates. Job Duties Designs, conducts, and analyzes independent and collaborative research projects in human genomics. Performs genomic
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++, or similar languages. Demonstrated expertise in machine learning, especially in the context of dynamical systems modeled by differential-algebraic equations. Experience with high-performance computing and the
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development program in “Artificial Intelligence in Education & Training.” This position reports to the director of CETE and is intended to expand the center’s capacity in the field of Artificial Intelligence
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algorithms Designing new algorithms and investigating their mathematical performance guarantees Participate in writing up the results and submission for scientific publication Collaborate with and mentor
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, biochemical, and other molecular approaches. This will require working with robots, computers, specialized software, and stereomicroscopes in addition to the genetic and molecular biology benches. Baylor
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presentations, and competitive grant submissions. Designs, performs, and troubleshoots experiments in tumor immunology using in vitro, ex vivo, and in vivo platforms, including immune cell functional assays, high