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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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strategies for sampling and analysis of diagnostic and therapeutic proteins in biological matrices, for example from a single drop of blood. Our goal is to bring advanced protein analysis closer to clinical
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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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/thermal analysis, chemical analysis, electron microscopy, and structure-property relationships for complex high strength fibers as well as polymeric and composite materials. This role requires hands
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analysis, and structure-property relationships for complex polymeric and composite materials. Candidate will conduct high-level, independent research, translating cutting-edge measurements into industry