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real-time data analysis and interpretation code. Build a connection between experimental data, analytical solution and Monte Carlo X-ray scattering simulations. In collaboration with ALS Photon Science
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Qualifications: Doctoral degree with quantitative training (ideally in econometrics) or relevant research experience. Strong coding skills in R, Stata, or other statistical software package. Good communication
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using large language models, disease endpoint coding initiatives, and creation of common data model (CDM). He/she will also be expected to support/lead high-quality research in chronic disease
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(CFD) code PDRFOAM. The work will be conducted in collaboration with other research projects on hydrogen safety at the department. The position offers a unique opportunity for specialisation and personal
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in the open-source computational fluid dynamics (CFD) code PDRFOAM. The work will be conducted in collaboration with other research projects on hydrogen safety at the department. The position offers a
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to Infectious Diseases Study (DiCAIDS)”. This collaborative project aims to develop a no-code, user-friendly computational platform for modelling the correlates of immune protection against some infectious
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Organization U.S. Department of Agriculture (USDA) Reference Code USDA-ARS-MWA-2025-0066 How to Apply To submit your application, scroll to the bottom of this opportunity and click APPLY. A complete
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and analytical thinking for research challenges. Flexibility in adjusting research direction as needed. Knowledge of energy storage systems and electric drives Coding experience. Math and optimization
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-event sampling (e.g., metadynamics). • Familiarity with open-source coding practices (GitHub/GitLab). More Information Location: Kent Ridge Campus Organization: College of Design and Engineering
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The Opportunity: You will use a variety of analytical methods and coding techniques, including social computational approaches, to analyse how emotional and identity-based narratives and visuals