723 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" uni jobs at The University of Chicago
Sort by
Refine Your Search
-
Listed
-
Field
-
or ethnic origin, shared ancestry, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please
-
priorities; recognize and resolve or refer problems; work effectively with supervision and as a part of a team; use or learn a range of position-related software applications. Additional Responsibilities
-
in Biology, Molecular Biology, Plant Biology. Experience: Previous Postdoctoral experience. Technical Knowledge or Skills: Knowledge of basic computer proficiency including computer programs and
-
the resultant data and preparing data in a presentable format. Maintains user logs, instrument logs, system logs, and computer system backups. Ensures users on best laboratory practices e.g., logs keeping, online
-
throughout the U.S. and around the world. Tracks data on student engagement and reports on student outcomes. Provides regular status updates to departmental leadership team and other key stakeholders. Develops
-
checks on functionality of the machines, computer maintenance and updates, and interfacing with Zeiss service agents. Trains new confocal microscope users and consults with more experienced users as needed
-
, color, religion, sex, sexual orientation, gender, gender identity, or expression, national or ethnic origin, shared ancestry, age, status as an individual with a disability, military or veteran status
-
, Kubernetes, etc.), and familiarity with HPC environments. Experience with geospatial libraries (GDAL/OGR, OTB, GeoPandas, PySTAC, etc.) and machine learning frameworks(Scikit Learn, Keras/TF, PyTorch, etc
-
a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination. Job seekers
-
model organisms in their work and are pushing into emerging model and non-model organisms that are proving uniquely valuable in particular studies. To learn more about our department, https