760 phd-computer-engineering-"Diamond-Light-Source"-"Diamond-Light-Source" positions at The University of Chicago
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
Director of the BMRC,the Program Manager/Archivist will support the BMRC’s seasonal research and internship programs while also using their archives management skills to help maintain the Archives Portal
-
computer science, mathematics, statistics, engineering, or a relevant quantitative field. Experience: 3+ years of relevant software development experience, full cycle, including design, coding, testing, and support
-
Incubator, a hub for generating new initiatives and ideas that drive broad-based thought and policy change. Job Summary Reporting to the Department Chair, the Program Director will oversee the Kenneth C
-
, practice, and advancement of free and open discourse, in collaboration with faculty and the broader university community. Job Summary The Program Manager of Student Engagement at the Chicago Forum for Free
-
://www.chicagobooth.edu/. Job Information Job Summary: The Building/Refrigeration Engineer is responsible for all duties performed by Building Engineers including operate, install, maintain, and repair building equipment
-
Department HUM Staff: English Administration About the Department The Program in Creative Writing is part of the Department of English Language and Literature at the University of Chicago. Students
-
identify, manage, and mitigate the technology risks of the University. Job Summary The Secure Data Enclave (SDE) Program Coordinator is responsible for the management of the SDE Service as
-
Department BSD SRF - Custom Anti-body Technique About the Department The Cytometry and Antibody Technology (CAT) Facility serves the faculty by providing access to state-of-the-art technology in
-
://www.chicagobooth.edu/. Job Summary The University of Chicago Booth School of Business seeks an experienced AI/ML Engineer to drive its AI strategy. This role supports research and academic initiatives by developing and
-
computer science, computer engineering, data science, or similar. Technical Skills or Knowledge: Experience with one or more machine learning and deep learning frameworks such as TensorFlow, PyTorch, or Keras