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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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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
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at least one programming language (C/C++, Python, R). Familiarity with geospatial information systems (GIS). Familiarity with statistical analysis and machine learning methods. Strong verbal and written
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quality. Proficiency with MS Office and strong skills in at least one programming language (C/C++, Python, R). Familiarity with geospatial information systems (GIS). Familiarity with statistical analysis
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a research position combining elements of applied mathematics, optimization, surrogate modeling, statistics, machine learning, and computational science. The successful applicant will develop, test
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and occupational safety. Certification as an occupational health nurse (COHN or COHN-S). Urgent care or emergency room experience. Statistical analysis skills. Ability to interpret regulations