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Field
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-world problems. Position Requirements Recent or soon-to-be completed (typically within the last 0-5 years) PhD in Electrical Engineering, Industrial Engineering, Applied Mathematics, or a closely related
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on the application under CV/Resume or upon answering the questionnaire you may attach the documents. Qualifications Required Education Ph.D. in Mechanical/Civil Engineering, Applied Mathematics, Theoretical Physics
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Qualifications: A PHD IN BIOLOGY, ECOLOGY, ENVIRONMENTAL TOXICOLOGY, EARTH SCIENCES, GEOCHEMISTRY, HYDROLOGY, DATA SCIENCE, APPLIED MATHEMATICS, OR A RELATED FIELD. EXPERIENCE REQUIREMENTS: - PRIOR
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defended their dissertation prior to the start date) with a background in water resources (not necessarily from Civil Engineering). A background in applied mathematics, field methodologies in unconsolidated
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). Applicants with a PhD in a quantitative field (computational biology, bioinformatics, systems biology, genetics/genomics, statistics, mathematics, computer science, or related fields) are encouraged to apply
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– Abilities Biology, Chemistry, Mathematics, and Statistics. Documentation and records management Data utilization Complex problem solving and critical thinking Resource management Writing skills Preferred
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. Additional Information: Required Education: Doctorate (Academic) in Mechanical Engineering, Aerospace Engineering or Applied Mathematics Desired Education: Doctorate (Academic) in the above majors with a focus
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, computer science, or applied mathematics, and superb computer programming skills. Recommended skills include an advanced command of Python and a language in the C family. Ability and a strong desire to work in a
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Classification Title: Post-Doctoral Associate Classification Minimum Requirements: Must have PhD in astronomy or physics. This position will be initially awarded for one year, and, contingent upon strong performance and conduct and availability of funds, may be renewed for up to one year. Job...
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priorities. Other duties as assigned. Knowledge – Skills – Abilities Required knowledge: Biology, Chemistry, Mathematics, Statistics, Documentation, Records management, Data utilization, Complex problem