Sort by
Refine Your Search
-
of natural language processing, machine learning, artificial intelligence, and human-computer interaction. Established within the School of Computer Science, LTI pioneers innovative approaches to understanding
-
-solving skills Organization and planning skills Strong oral and written communication skills Qualifications: PhD in a related field required Experience working on and publishing refereed papers on problems
-
external partners at a high level of integrity. We are looking for someone who shares our values and who will support the mission of the university through their work. Qualifications PhD in Neuroscience
-
mechanical properties. The postdoc is to build and successfully execute the project within the lab’s research program through collaboration with the PI and the group members. At least a PhD in Chemistry
-
microscopy and image analysis. The candidate should have experimental experience with surfactant systems, with some preference for experience with foams and/or imaging methods. The initial contract will be
-
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
-
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
-
shares our values and who will support the mission of the university through their work. Qualifications: PhD in Materials Science and Engineering or a related field (e.g., physics, chemistry, chemical
-
close to completing, a PhD in Chemical Engineering, Biomedical Engineering, Mechanical Engineering, or a related field Strong candidates will have expertise in one or more of the following areas
-
practices in different research communities; Teach lessons and workshops such as data processing and analysis using R or Python, tools and best practices for data management, computational best practices