23 scholarship-phd-agent-based-modelling Postdoctoral positions at Carnegie Mellon University
Sort by
Refine Your Search
-
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
-
Maarten Sap's group in the LTI at CMU. Core Responsibilities: Conducting research in NLP and social intelligence of agents, ethics of AI and positive applications of AI (culture, mental health). Leading
-
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
-
, 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
-
, 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
-
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
-
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
-
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
-
funding for current and future research projects, travel grants and/or foundation awards. Research, analyze and model current and projected data. Other duties as assigned. Inclusion and cultural sensitivity
-
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