energy and mineral resource
AI Helps Search for Potential Moon Sites for Energy and Mineral Resources
A new technique of moon scanning could help automatically categorize the essential lunar features from telescopic images and can also remarkably enhance the efficiency of choosing sites for exploration. There is much more to choosing a landing or exploration site on the Moon than what is just observed. The lunar surface's visible area is bigger compared to Russia and is pockmarked by thousands of craters and crisscrossed by canyon-like rilles. However, scanning the larger area by eyes, searching for features that measure a few hundred meters across is strenuous and not typically perfect. This makes it hard to select an ideal area for exploration.
Research Mathematical Statistician
BASIC EDUCATION REQUIREMENT for Research Mathematical Statistician, GS-1529: Applicants must meet A or B below to satisfy the basic education requirement for Research Mathematical Statistician at all grade levels. A. Possess a degree that included 24 semester hours of mathematics and statistics, of which at least 12 semester hours were in mathematics and 6 semester hours were in statistics. B. A combination of education and experience -- at least 24 semester hours of mathematics and statistics, including at least 12 hours in mathematics and 6 hours in statistics, as shown in A above, plus appropriate experience or additional education. Courses in mathematical statistics or probability theory with a prerequisite of elementary calculus or more advanced courses will be accepted toward meeting the mathematics requirements, with the provision that the same course cannot be counted toward both the mathematics and the statistics requirement. Evaluation of Experience: The experience offered in combination with educational courses to meet the requirements in paragraph B above should include evidence of statistical work such as (a) sampling, (b) collecting, computing, and analyzing statistical data, and (c) applying known statistical techniques to data such as measurement of central tendency, dispersion, skewness, sampling error, simple and multiple correlation, analysis of variance, and tests of significance.