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intensity ratios. This research project will explore several novel and high-risk techniques for realizing a primary temperature sensor in a compact package. This will require operating an locking multiple
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practical experience in deep learning-based machine learning or natural language processing. Strong background in statistical modeling. Strong scientific writing skills. Expertise in medical imaging
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) equipped with a cryogenic stage for surface analysis - Develop computer code (e.g. Python) for the development and analysis of optical cavities Qualifications § PhD degree in Materials, Electrical
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for the semiconductor etching process. U.S. Citizen Preferred Key responsibilities will include but are not limited to: - Develop libraries of training data through mining of existing databases and simulation of infrared
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nanofabrication techniques and processes. § Data analysis with MATLAB, Mathematica, Python or similar software. § Strong oral and written communication skills. Application Instructions Please upload
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and will ultimately depend on multiple factors, which may include the successful candidate's geographic location, skills, work experience, internal equity, market conditions, education/training and
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, processing, use, and disposal is subject to supply chain risks and results in a significant loss of critical minerals from the economy. As a result, there is increasing interest in transitioning to a more
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of engineered biological parts and systems. Develop automation workflows for bottleneck processes in biosecurity screening and synthetic biology. Support NIST's mission through service as a subject matter expert
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to the selected candidate may vary and will ultimately depend on multiple factors, which may include the successful candidate's geographic location, skills, work experience, internal equity, market conditions
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-$72,000. Not all candidates will be eligible for the upper end of the salary range. The actual compensation offered to the selected candidate may vary and will ultimately depend on multiple factors