Sort by
Refine Your Search
-
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
-
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
-
information science, and applied social science research. This position is well-suited for someone interested in research design and the application of geographic principles and methods to policy analysis and
-
(GEI), a partnership between the National Center for Ecological Analysis and Synthesis (NCEAS) and The NOAA RESTORE Science Program seeks to fill two postdoctoral positions focused on addressing
-
University of California, Berkeley, Department of Electrical Engineering and Computer Sciences Position ID: University of California, Berkeley -Department of Electrical Engineering and Computer
-
immediately and will remain open until filled. The level of this appointment is ideal for candidates who recently completed their PhD (or is expecting to soon). Interested candidates can apply by submitting a
-
University of California, Berkeley, Department of Electrical Engineering and Computer Sciences Position ID: University of California, Berkeley -Department of Electrical Engineering and Computer
-
Lawrence Berkeley National Lab’s (LBNL ) Accelerator Technology & Applied Physics (ATAP ) Division has an opening for a Postdoctoral Scholar to work in the ALS Accelerator Physics Program (ALS AP
-
) Applicants must have completed all requirements for a PhD (or equivalent) in Physics, except the dissertation, at the time of application. Additional qualifications (required at time of start) 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