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practice (e.g., Python/MATLAB/C++ and/or established modelling platforms). Familiarity with asymptotic and multiscale mathematical analysis methods to ground proof numerical simulations Strong communication
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and simulation of complex systems in endocrinology. Digital endocrinology is a rapidly evolving, interdisciplinary field that integrates modern technology into the diagnosis, management, and treatment
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avian influenza (HPAI) airborne transmission between U.S. poultry facilities. The primary focus of this opportunity will be learning to develop statistical and mathematical models to assess airborne
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Republic. We focus on the development and application of methods of analysis and modelling of real-world complex networked systems, with particular interest in the structure and dynamics of human brain function
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environment - drive the development and function of complex biological systems. Within this project the Research Fellow will drive the development of the unified multicellular mathematical framework within
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environment - drive the development and function of complex biological systems. Within this project the Research Fellow will drive the development of the unified multicellular mathematical framework within
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). Familiarity with asymptotic and multiscale mathematical analysis methods to ground proof numerical simulations Strong communication skills and ability to work across disciplinary boundaries. Desirable
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Project Lung cancer remains one of the most pressing public health concerns worldwide, demanding innovative research to address its complexities and challenges. To this end, our research presents two
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for fitting stochastic epidemic models to infectious disease outbreak data. The post will contribute to cutting-edge methodological research on Bayesian inference for complex stochastic transmission models, as
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quantum computing, aiming to solve small, complex sub-problems using Quantum Process Units (QPUs) while leveraging classical High-Performance Computing (HPC) on data-intensive tasks. With dedicated