Sort by
Refine Your Search
-
university’s creative, dedicated and close-knit community. We place emphasis on practical problem solving, interdisciplinary learning, a visionary spirit, and collaboration. The Computer Science Department (CSD
-
curious to deliver work that matters, your journey starts here! The Department of Electrical and Computer Engineering ranks among the best in the country. Our research programs are at the forefront
-
curious to deliver work that matters, your journey starts here! The Department of Electrical and Computer Engineering ranks among the best in the country. Our research programs are at the forefront
-
work environment. We are seeking a part-time Research Assistant in computer vision and machine learning for human behavior analysis and modeling. The successful candidate will investigate new algorithms
-
recognize multimodal human behavior in real world settings (e.g., Affective Computing, AI for Healthcare: pain measurement, monitoring mental health disorders). The successful candidate will have primary
-
, 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
-
by working to develop novel algorithms on finite element method, isogeometric analysis, geometric modeling, machine learning and digital twins to study various applications such as computational
-
-omics datasets (genomics, proteomics, etc.) related to schizophrenia research. Integrate multiple high-dimensional datasets using canonical correlation methods. Modify and adapt existing statistical
-
-omics datasets (genomics, proteomics, etc.) related to schizophrenia research. Integrate multiple high-dimensional datasets using canonical correlation methods. Modify and adapt existing statistical