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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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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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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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. Practical knowledge of bioinformatics. Skills Essential: C1. Commitment to open research, as appropriate to the discipline, through open data, open code, open educational resources, and practices
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experience and explains how and why this makes you right for the role (1 page max.). The covering letter should include confirmation of your right to live and work in the UK*. If providing a share code, please