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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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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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/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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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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, spreadsheets, and database programs) to perform analyses. May supervise the activities of nonexempt personnel. What is Required: Bachelor’s degree (or equivalent knowledge) in engineering, physics, statistics
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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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and biochemistry, biology, statistics, AI, and computational science. The successful applicant will work closely with biologists and biochemists to develop biochemical data sets, and to develop AI and
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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