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hire's experience. Required Education and Experience: Ph.D. in Mathematics, Statistics, Machine Learning, Quantum Computing or a related quantitative field Required Knowledge, Skills, and Abilities
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Word, Excel, and FAMIS, and/or Maestro to prepare budgets and interpret financial information. Strong mathematical and comprehension skills. Ability to review project scope of work for needed compliance
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, spreadsheet, and database applications Knowledge of probability theory, regression, and analysis of variance Knowledge of mathematical and statistical packages such as SAS, R (S+), Stata Ability to meet project
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, walk, use stairs, and occasionally hand-carry light duty operations equipment Preferred Education and Experience: Bachelor’s degree in science, engineering, mathematics, or computer science Experience
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, Computer Science, or a related field. Strong mathematical background, including expertise in optimization, probability, statistics, and machine learning (especially reinforcement learning). Prior experience
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/ecology, conservation biology, statistics, applied mathematics, or a related field. Strong organizational and quantitative skills, including expertise in data management and statistical analysis (Program R
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! DESCRIPTION Functional Area 1: Research Percent Effort: 45% Job Duties Utilize engineering, scientific, and mathematic principals to complete numerous tasks in designing, modeling, fabricating and assembling
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research. Progressively responsible budgeting and/or project administration experience. Strong mathematical and comprehension skills. Advanced knowledge of Word, Excel and FAMIS, and/or Maestro. Ability
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Job Title Fitness Instructor 4 Agency Texas A&M University Department Dept Of Recreational Sports Proposed Minimum Salary Commensurate Job Location , Job Type Temporary/Casual Staff (Fixed Term) Job Description Our Commitment Texas A&M University is committed to enriching the learning and...
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general circulation models and data assimilation outputs In-depth understanding of the physical and mathematical foundations of coupled/uncoupled numerical general circulation models, such as E3SM, CESM