20 phd-mathematical-modelling-ecological-modelling Postdoctoral positions at Carnegie Mellon University
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of Mathematical Sciences plans to make one or more part-time postdoctoral appointments (postdoctoral associate special faculty) beginning September 2025. The purpose of the Mathematical Sciences Postdoctoral
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support the mission of the university through their work. Qualifications: PhD Degree in MSE/MECHE or a related field (e.g., physics, chemistry, chemical engineering) Publications in peer-reviewed journals
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, air-liquid interface and organoid models, and differentiation of human iPSCs into lung epithelial lineages. Additional experience with hydrogel development or lung epithelial biology is strongly
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, air-liquid interface and organoid models, and differentiation of human iPSCs into lung epithelial lineages. Additional experience with hydrogel development or lung epithelial biology is strongly
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. Qualifications: Doctorate degree in Material Science and Engineering and in Engineering and Public policy or the equivalent. Experience in modeling battery lifetime and production operations for managing EV
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engineering, earth science, computer science, or related field required. A PhD specializing in glacier modeling, remote sensing, and/or statistics preferred. Python coding experience preferred. Strong
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. In particular, creating wide area networking telemetry techniques to identify protocol limitations and create models to evaluate different protocol options. Project 2 (Programmable infrastructure
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support the mission of the university through their work. Qualifications: PhD degree in Mechanical Engineering, Biomedical Engineering or a related field 1-3 years of experience Research and hands
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. Active research thrusts within the AiPEX lab include AI for complex physics-based modeling and simulation, AI for enhancing human performance and decision making, AI for advancing personalized learning
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their work. Qualifications: PhD in Anthropology, Computer Science, Linguistics, Science & Technology Studies, or a related field Strong publication record or demonstrated potential for impactful research