21 scholarship-phd-agent-based-modelling Postdoctoral positions at Carnegie Mellon University
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either or both agent-based modeling and social network analysis/network science. The ideal candidate should be able to program in C or C and have experience working with tera-bytes of data. Preference
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Expert in advanced machine learning such as multi-agent generative AI, LLMs, Diffusion models, and traditional machine learning techniques Expert in CALPHAD-based ICME techniques Expert in combining
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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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through their work. You should demonstrate: Strong analytical abilities Excellent organizational and planning skills Effective problem-solving and critical reasoning skills Qualifications: PhD in Economics
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on implantable cell-based medical devices, along with a system assembly to create fully functional devices and hormone calibration studies in vitro and in vivo. Core Responsibilities: Responsible for supporting
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through their work. You should demonstrate: Strong analytical abilities Excellent organizational and planning skills Effective problem-solving and critical reasoning skills Qualifications: PhD in Economics
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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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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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. 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