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A Bachelor's degree in Math, Applied Mathematics, Math Education/Math Teaching, Education with a Concentration in Mathematics, Computer Science, Statistics, Physics, or Engineering, OR a Bachelor's degree with at least 18 undergraduate credit hours of math courses (Calculus II and above)A current State of Colorado Professional Teacher License with Mathematics Education 7-12 Endorsement.
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Applied mathematics (e.g. probability and statistics, multivariable calculus, linear algebra, ordinary and partial differential equations, stochastic processes, graph theory) Bachelor of Science degree in the Mathematics, the Physical Science, Software Engineering, Computer Science or related field with 6-8 years of related experience, or a Master of Science degree with 4-6 years of experience, or a PhD with 2-4 years of experience.
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Master's degree in Operations Research, Applied Mathematics, Probability, Statistics, or other related technical degree requiring substantial competence in college-level mathematics or statistics to include calculus, plus 5 years of experience.
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Also allowed (one of the following): Bachelor's degree in any field with at least 18 undergraduate credit hours in Mathematics courses Calculus II or above OR Bachelor's degree in any field with at least 18 graduate credit hours in Mathematics, Applied Mathematics, Mathematics Education, Education with Concentration in Mathematics, Engineering, Physics, Computer Science, Statistics, Chemistry, Biochemistry, Astronomy, Aeronautics, or Astrophysics.
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Desired Qualifications: Priority will be given to applicants in the field of Analysis, broadly construed, including geometric analysis, classical analysis, dynamics, partial differential equations, probability, numerical analysis and scientific computing, and applied mathematics.
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The ideal candidate will have a Masters degree in pure or applied mathematics, data science, physics, mathematics education, or statistics. Teach one or more in person classes ranging from general education mathematics courses to calculus courses.
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QualificationsQualifications for this Career Opportunity Knowledge of the principles, practices and theories of applied mathematics and economics, including calculus, statistics, and econometrics.
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Responsibilities Teach twelve credit hours of undergraduate-level Mathematics courses per semester (which may include web-based or other non-traditional instructional delivery methods) in Algebra, Calculus, Statistics, and upper-level courses to support our mathematics degree tracks.
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Master’s degree in Mathematics or Master's degree with 18 graduate credit hours in mathematics, statistics, applied statistics, or related discipline courses in the teaching or application of algebra, calculus, or finite mathematics required.
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Degree must be in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or a related field with at least one programming and at least 4 upper-level math classes (Calculus and above.
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Degree must be in Computer Science, Computer Engineering, Electrical Engineering, Mathematics (including Applied Math); or a related field (i.e., other Engineering or Math) with at least one programming and at least four upper-level math classes (Calculus and above.
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Relevant experience must be in a computer science area (i.e. theoretical or applied), designing/developing/using/evaluating mathematic models, methods, and/or techniques (e.g. algorithm or development) to study issues and solve problems, engineering (electrical or computer), and/or high performance computing.
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Requisite computer science skills (operating systems, compiler theory, databased theory, algorithm analysis, computer architecture, discrete math, programming language theory, and data structure) are applied to each problem to problem to provide state-of -the-art techniques, tools and approaches.
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Responsibilities: Use mathematical/statistical methods, new algorithms, and computational methods to design, develop, deliver, and operate solutions to hard cryptologic or cryptanalytic computer science problems within scientific framework.
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Bachelor's degree from an accredited university in Computer Science, Statistics, Applied Mathematics, Analytics, or related field. Strong understanding of basic statistics, linear algebra, and calculus.
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