Sort by
Refine Your Search
-
familiarity with supercomputing or cloud platforms. Experience with AI/deep learning beyond simple tools (e.g., Random Forest, ANN), particularly in integrating physical models and AI algorithms. Knowledge
-
origin, gender, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression. To learn more about diversity at the U: http
-
of the following backgrounds are particularly encouraged to apply: Machine learning and deep learning, particularly for time-series modeling Structural health monitoring (SHM), including fiber-optic sensor
-
the interfacial transition zone, - adjustment of rheological properties through tuning of concentrations and types of viscosity modifiers and superplasticizers, - deep learning modeling
-
in the University of Minnesota. The research will focus on applying, developing and implementing novel statistical methods for causal inference, integrative data analysis or/and machine/deep learning
-
origin, gender, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression. To learn more about diversity at the U: http
-
interest in the use of machine learning techniques to enable new analysis strategies, as well as the application of deep understanding of the detector to enable novel physics studies. The group also has a
-
health-related scientific questions Preferred Qualifications: ● Research experience in predictive modeling and/or longitudinal datasets ● Expertise in deep learning, reinforcement learning, transfer
-
, or in a closely related discipline. You will have deep and broad experience as a scientist with excellent research skills. You will have a passion and enthusiasm for research and innovation and ensuring
-
per annum (Level A6 to Level B3) plus 17% superannuation. About You You will have completed a PhD in mechatronics or instrumentation, or in a closely related discipline. You will have deep and broad