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Field
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technologies, and sequencing quality control metrics is essential. This is an exciting opportunity for a researcher who enjoys working at the intersection of science, technology, and collaborative discovery
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in Theoretical Physics (FRHTP). QNM-I is an interdisciplinary QIS research center, with participating faculty from physics & astronomy, chemistry, electrical & computer engineering, computer
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circuits on millisecond timescales. To understand how the brain operates, the Z. Wang Lab at the Rowland Institute at Harvard develops optical tools to record and control neural activity across the entire
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/Administrative Internal Number: 496627 Department: Chemical Engineering Salary: 49,400 - 56,200 Description: Possesses, understands, and applies a comprehensive knowledge in area of specialization. Develops
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Robotics, Controls, AI, Computer Vision, and Hardware Security The Control/Robotics Research Laboratory at NYU invites qualified applicants with a doctorate degree in the areas of electrical, or computer, or
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doctoral degree in Bioinformatics, Computational Biology, Genomics, Biostatistics, Data Science, Computer Science, Biomedical Engineering, or a closely related quantitative field is required. Research
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 8 hours ago
Countries will not be accepted at this time, unless they are Legal Permanent Residents of the United States. A complete list of Designated Countries can be found at: https://www.nasa.gov/oiir/export-control
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energy systems, energy storage, buildings and district energy systems, smart-grid applications, process systems engineering, advanced control, and artificial intelligence/machine learning for energy
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Education: PhD in Chemical Engineering or related field Desired Experience: 3 years of prior research experience on multiscale modeling, hybrid modeling, and model-based control or related fields. Additional
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Education: PhD in Chemical Engineering or related field Desired Experience: 3 years of prior research experience on multiscale modeling, hybrid modeling, and model-based control or related fields. Additional