35 phd-in-architecture-interior-design-built-environment Postdoctoral positions at Carnegie Mellon University
Sort by
Refine Your Search
-
, faculty members, researchers, and students are revolutionizing focus areas in advanced manufacturing, bioengineering, computational engineering, energy and the environment, product design, and robotics. In
-
on advancing technologies and methodologies to improve multi-speaker conversational understanding in real-world environments Core Responsibilities: Conduct research in robust automatic speech recognition
-
on advancing technologies and methodologies to improve multi-speaker conversational understanding in real-world environments Core Responsibilities: Conduct research in robust automatic speech recognition
-
issues. The department is characterized by its focus on creating impactful technologies and therapies that improve patient care and advance biomedical innovation globally. The Department of Biomedical
-
issues. The department is characterized by its focus on creating impactful technologies and therapies that improve patient care and advance biomedical innovation globally. The Department of Biomedical
-
, faculty members, researchers, and students are revolutionizing focus areas in advanced manufacturing, bioengineering, computational engineering, energy and the environment, product design, and robotics. In
-
, faculty members, researchers, and students are revolutionizing focus areas in advanced manufacturing, bioengineering, computational engineering, energy and the environment, product design, and robotics. In
-
. This position will work closely with faculty in AI, NLP, Ethics, and Anthropology to design and conduct empirical studies, develop novel evaluation frameworks, and advance methods that ensure AI systems
-
-performance computing (HPC) environment Perform data analysis and visualization Perform machine learning and inverse design techniques Train and supervise masters and doctoral students Coordinate research with
-
. This position will work closely with faculty in AI, NLP, Ethics, and Anthropology to design and conduct empirical studies, develop novel evaluation frameworks, and advance methods that ensure AI systems