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prototype detector systems. Design, set up, and execute experiments to characterize and evaluate detector performance. Analyze experimental data using advanced statistical and data analysis techniques, and
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performance. Analyze experimental data using advanced statistical and data analysis techniques, and develop custom data analysis tools and algorithms as necessary. Prepare high-quality manuscripts
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. Position requires: 1. Mathematical statistics and data analysis fundamentals including: large scale data mining and modeling; 2. Operations research, stochastic optimization, machine learning, queuing theory
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/frameworks (e.g., TensorFlow, PyTorch). Proficiency in field-programmable gate array (FPGA) programming in RTL design and verification. Strong background in ML, statistics, and mathematics, with practical
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residential buildings. Build databases and carry out statistical analyses that are relevant to quantifying the relationships between building decarbonization strategies, GHG emissions, costs, public health, and
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out statistical analysis and prepare results for publication. Document and communicate research results through publications, such as technical reports and journal manuscripts. Review published
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and sampling of plants and soil. Proficiency in Excel, R, Matlab, or other software for handling and organizing data. Knowledge in basic statistics. Desired start date is May 1, 2024 but earlier
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in basic statistics. Desired start date is May 1, 2024 but earlier or later start dates will be considered. Apply by March 20, 2024 with the following application materials (the position will remain
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experience and familiarity with statistics and linear algebra. Experience with Jupyter notebooks, pandas and matplotlib. Demonstrated interest and/or experience with science and/or STEM education. Experience
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) and data science. Some experience with statistics and linear algebra. Some experience teaching students in an informal or formal setting. Experience working with youth from diverse backgrounds