-
LSST. Projects will draw on new and archival observations from optical ground-based (e.g., Zwicky Transient Facility) and satellite (e.g., TESS) observatories, with potential supplementary data from X
-
students on forming the toolkit to best serve the needs of the data center industry. Communicate findings of various design decisions for waste heat recovery to both industrial and academic communities
-
and National Laboratories to integrate inputs. Contribute to the dissemination of research findings through academic publications, presentations, and community outreach. Minimum Qualifications
-
findings through academic publications, presentations, and community outreach. Minimum Qualifications: The successful candidate must have: a Ph.D. degree in water resources engineering, civil and/or
-
(GSI) systems for urban communities. This project addresses the growing need for sustainable stormwater solutions by integrating cutting-edge AI technology, real-time monitoring, and data from
-
independently and communicate proactively. The individual must be highly motivated with strong written and oral communication skills. Preferred Qualifications: Physical Requirements and/or Unusual Work Hours
-
engineering, civil and/or environmental engineering or closely related field good organizational and communication skills the ability to work independently and communicate proactively The individual must be
-
statistical analysis platforms such as Python, R, and Java. Good communication skills Strong academic records in terms of publications, research project experiences, etc. The individual must be highly motivated
-
, project partners, and the scientific and broader community. They will also prepare manuscripts for submission to referred journals using existing and new data sets. The fellow will pursue additional