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limited to: -Perform experimental tasks toward realizing a primary thermometer base on rubidium atoms -Data analysis -Disseminating project results via peer-reviewed publications and public presentations
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) - Strong quantitative/data skills (e.g., Matlab/Python/Origin/JMP) for processing large datasets, fitting models, and producing publication-quality figures. - Track record of technical writing (peer-reviewed
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for mmWave test and measurement. - With the measurement systems integrated, the PREP student will perform all measurements and analysis on the data. - In coordination with NIST researcher, the PREP student
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of data and measurements to provide complete traceability path to primary standards. Experimental design to create repeatable test conditions that best expose devices to a traceably known condition. Present
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composites) Background in polymer viscoelasticity and physics Strong quantitative/data skills (Matlab/Python/Origin) Demonstrated record of technical writing and public speaking Ability to lead projects
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on the data. - In coordination with NIST researcher, the PREP student will develop and carry out on-wafer metrology. Qualifications ? A PhD degree in Materials Science Engineering, or a related field. ? 2
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C.V to 3 pages only and ONLY include a valid email address for your contact info. Your resume will not be considered if the following information is included on your CV/resume. - Self portraits
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to improve the early detection of pancreatic tumors and improve patient management. Different machine-learning approaches will be compared, and models validated on data prospectively collected. The position
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team of chemists, physicists, mathematicians, data scientists and machine learning experts characterizing PFAS molecules used in the semiconductor industry with the goal of discovering new molecules
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metric benchmarks for OPTIR measurements that can be used for evaluating data and method transferability to widely used IR-based and Raman techniques - Contribute to NIST efforts for evaluating and