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to a single 12-month term. Required Qualifications - Doctoral degree in Aerospace Engineering, Mechanical Engineering, Physics, Applied Mathematics, or related discipline; - Ph.D. must have been awarded
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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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Measure Theory : Leveraging foundational mathematical frameworks to design robust modeling approaches. 2) Deep Learning : Exploring cutting-edge techniques such as multimodal data integration, diffusion
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-doctoral researcher with a strong quantitative background in biology, evolution, or social science, and previous experience in mathematical modeling or behavioral experimentation. Purpose: Complete a multi
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relevant programming languages. Ability to use/learn several advanced modeling methods (e.g., statistical, mathematical, individual-based, or machine learning models). Experience with high-performance
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relevant programming languages. Ability to use/learn several advanced modeling methods (e.g., statistical, mathematical, individual-based, or machine learning models). Experience with high-performance
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mathematics and engineering. The Interpretable Machine Learning Lab has dedicated access to high-performance CPU and GPU computing resources provided by Duke University’s Research Computing unit and state
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Applied Mathematics and Plasma Physics (T-5) group at Los Alamos National Laboratory is seeking qualified Postdoctoral Research Associates. You will complete research projects on various potential topics
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 24-Jun-25 Location: Minneapolis, Minnesota Categories: Academic/Faculty Mathematics/Statistics Additional Information
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ability to interface with students and faculty in psychology, cognitive science, computer science, applied mathematics and architecture/design. Preferred Qualifications Equipment Utilized Vive Focus 3 VR