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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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a doctoral degree in electrical engineering, physics, computer science, or applied mathematics, and superb computer programming skills. Recommended skills include an advanced command of Python and a
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Department: Mathematics Salary: Commensurate with Experience/Education Description: Possesses, understands, and applies a comprehensive knowledge in area of specialization. Develops understanding
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, or closely relevant fields • Expertise in developing novel statistical and mathematical models for addressing data challenges in real-world applications • Publications in top data science and machine learning
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U.S. Department of Energy (DOE) | Washington, District of Columbia | United States | about 9 hours ago
, including academic history, employment history, and relevant experiences Academic Records - For this opportunity, an unofficial transcript or copy of the student academic records printed by the applicant
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, Computer Science, Applied Mathematics, Geophysics, or a related field MQ: Requires singular knowledge of a specialized advanced professional discipline or the highest level of general business knowledge
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. Qualifications Required Education Ph.D. in Mechanical Engineering, Applied Mathematics, Theoretical Physics, or a closely related field Preferred Qualifications Demonstrated experience in theoretical and
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epidemiological modeling. Prior experience with mathematical modeling of vector-borne disease and gene drive control systems. Knowledge, Skills, and Abilities Programming skills in R or Python. Ability to work
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to help monitor and combat online social influence and promote a healthy information environment. The successful candidate will join the School of Computing and Mathematical Sciences as part of a project
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Department: Ctr for Nuclear Rec & Cell Sig Salary: Commensurate with experience Description: The Center for Nuclear Receptors and Cell Signaling in the College of Natural Sciences and Mathematics