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for the environment of a small student-centered university. The successful candidate will have a PhD in Mathematics, Physics or related field or extensive applicable experience and must be able to teach lab-based
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A PhD (or equivalent research work experience) in a quantitative discipline related to the research programme e.g. health economics, labour economics, simulation or systems modelling, data science on
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of macrophage behaviour; these cells are capable of adopting pro- or anti-inflammatory states that influence bacterial survival. By combining experimental approaches with mathematical modelling, it analyses
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teaching. For more information about the department visit https://www.umb.edu/science-mathematics/academic-departments/mathematics/ Application instructions: To apply, the candidate must submit a cover
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learning for mathematics (e.g., model architectures for theorem proving, data-driven exploration of mathematical structures) Or experience in related areas and a passion for mathematical discovery We welcome
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an integrative approach to engineering education. Students develop rigorous competencies in mathematics, science, and engineering fundamentals while gaining expertise in multidisciplinary problem solving. A
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simulations will be compared with simplified theoretical approaches, such as rate-and-state models describing the seismicity evolution of a population of secondary faults surrounding an aseismically slipping
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Description The Smart Materials Lab (Panče Naumov Group) at the Division of Science and Mathematics, New York University Abu Dhabi, seeks to recruit a highly motivated associate research scientist
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mathematical models to understand how B cell populations change across the lifespan and how these changes influence immune function. The project will combine data analysis with method development, integrating
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From patience to peril: how do C. difficile spores decide when it's safe to germinate? School of Mathematical and Physical Sciences PhD Research Project Self Funded Dr William Durham, Dr Robert