766 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" positions at The University of Chicago
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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
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in Biology, Molecular Biology, Plant Biology. Experience: Previous Postdoctoral experience. Technical Knowledge or Skills: Knowledge of basic computer proficiency including computer programs and
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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
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, 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
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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
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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
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, 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
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education advancement. Technical Skills or Knowledge: Demonstrated skill and knowledge of, or ability to learn quickly, the internal workings of the University as well as the technology tools available
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or Knowledge: Demonstrated skill and knowledge of, or ability to learn quickly, the internal workings of the University as well as the technology tools available to the Office of Alumni Relations and Development
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dedicated to the development and application of advanced computational techniques to biomedicine, particularly the application of machine learning and statistical inference techniques to high-throughput