105 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" Postdoctoral positions at University of Washington
Sort by
Refine Your Search
-
EPAR, please see: https://epar.evans.uw.edu/ The Postdoctoral Scholar will provide support on current contracts that involve constructing agricultural indicators and doing analyses associated with
-
information, please visit the University of Washington Labor Relations website. https://hr.uw.edu/labor/academic-and-student-unions/uaw-postdocs/uaw-postdoc-contract Qualifications Required Qualifications PhD
-
information, disability, or veteran status consistent with UW Executive Order No. 81 . Benefits Information A summary of benefits associated with this title/rank can be found at https://hr.uw.edu/benefits
-
equipment using a machine shop Expertise in reduced-order modeling of plasmas, including plasma chemistry. Instructions For full consideration, applicants should submit via Interfolio, the following by
-
focus in machine learning. The postdoctoral scholar will work on topics of mutual interest such as, but not limited to, automatic machine learning model selection and automatically explaining machine
-
. The UW is a recipient of a National Science Foundation ADVANCE Institutional Transformation Award to increase the advancement of women faculty in science, engineering, and math (see http
-
at https://hr.uw.edu/benefits/benefits-orientation/benefit-summary-pdfs/ . Appointees solely employed and paid directly by a non-UW entity are not UW employees and are not eligible for UW or Washington State
-
Dr. Thomas at wendyt@uw.edu. More information about the Thomas Lab can be found at https://sites.bioe.uw.edu/thomaslab. Equal Employment Opportunity Statement The University of Washington is committed
-
). • Familiarity with cloud computing and machine learning techniques. Instructions Applications for this position should include a: (1) Curriculum Vitae with the names and contact information of 3 references (2
-
. The overarching mission of I-LABS is to understand the mechanisms of human learning, especially in early development. More information about I-LABS can be found at: (http://ilabs.washington.edu ). This I-LABS