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Job description We are recruiting postdocs to contribute to research projects in the Mathematical Modelling of Infectious Diseases Unit, at Institut Pasteur in Paris. The candidates will be expected
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collaborative mindset and bring the following qualifications: - a PhD degree in mathematics, with a focus on algebraic geometry; - experience with at least some of the following: Fourier—Mukai transforms
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and data-driven modeling approaches to understand mechanisms that drive stress contagion. In addition to teaching two lower-division mathematics classes per year, the postdoc will also be responsible
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collaborative mindset and bring the following qualifications: a PhD degree in mathematics, with a focus on algebraic geometry; experience with at least some of the following: Fourier—Mukai transforms, Hochschild
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Interdisciplinary Training in Mathematics for Human Health,” supported by the National Science Foundation. RTG themes include modeling in cancer biology, computational neuroscience, and mathematical epidemiology
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the project include mathematical derivation, analysis, and comparison of models, methods, and simulation approaches; rapid prototyping of new ideas in custom code; implementation of new models, methods, and
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results into practical applications for end users. Subject Description The research aims to develop machine learning models for microbe detection, focusing on the mathematical foundations in geometry and
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Postdoctoral position in mathematical modelling of cognitive processes to be filled by 1 September 2025 or as soon as possible thereafter. The position is for 2 years. Information about CoInAct can be found
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models. Developing mathematical analysis to bound the trade-off between performance, energy efficiency and time especially in the context of large AI models. Contribute to the research and development
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, and mathematical modeling, applying these methods to study systems biology, single-cell genomics data analysis and protein design. The candidates will work in a highly interdisciplinary and