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-borne diseases modeling. The ideal candidate should have 1) a strong background in applied mathematical sciences, computer science, or any other quantitative field, 2) experience with population biology
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the theoretical and computational mechanics of shell structures, with a focus on extending these models to incorporate coupling with electromagnetic theory. This position is part of an interdisciplinary effort to
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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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experience. Required Education and Experience: PhD in Physics Preferred Education and Experience: Experimental: Expertise with nonlinear optics, plasma physics, and ultrafast lasers. Theory: Working
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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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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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, supergravity, and string theory. If the description sounds exciting to you, we invite you to apply to be considered for this opportunity to join our team. What You Need to Know Salary: Compensation will be