12 machine-learning-modeling-"Linnaeus-University" Postdoctoral positions at University of California
Sort by
Refine Your Search
-
research work in the Sustainable Energy and Environmental Systems Department. The Postdoctoral Scholar will conduct energy and environmental policy analysis, specifically by modeling key performance metrics
-
research focuses on a geometric understanding of training in deep neural networks. The position offers excellent training opportunities at the intersection of machine learning and applied mathematics
-
University of California, Berkeley, Department of Electrical Engineering and Computer Sciences Position ID: University of California, Berkeley -Department of Electrical Engineering and Computer
-
geometric understanding of training in deep neural networks. The position offers excellent training opportunities at the intersection of machine learning and applied mathematics. Qualifications: - Applicants
-
, California 95616, United States of America [map ] Subject Areas: Physics / Astronomy , Astrophysics Computational , Machine Learning Salary Range: Starting at $71,491/year or higher depending on experience
-
, particularly on measurements and searches using jet substructure and development of advanced techniques in particle tagging, including applications using machine learning, and are expected to take leading roles
-
The Department of Geography, at the University of California, Santa Barbara seeks a qualified candidate for a post-doctoral research position in ocean dynamics and modeling. The qualified candidate will have the
-
be well supported by a community of postdocs and resident researchers. You will have access to our Learning Hub trainings and other resources for professional development. Your proposed independent
-
University of California, Berkeley, Department of Electrical Engineering and Computer Sciences Position ID: University of California, Berkeley -Department of Electrical Engineering and Computer
-
practices ● Fluency in programming languages such as R and Python. ● Demonstrated ability to make reproducible code for cleaning, integrating, and modeling spatial/temporal data from multiple sources, spatial