18 machine-learning-phd positions at University of California, San Francisco in United States
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University of California, San Francisco | San Francisco, California | United States | about 1 month ago
the collective bargaining agreement. The salary range for this position is $72,000 - $154,600 (Annual Rate). To learn more about the benefits of working at UCSF, including total compensation, please visit: https
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program operations, which include teaching and learning activities, program curriculum, learner scheduling, maintaining databases, tracking learner compliance, and program accreditation. Applies acquired
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managing large multimodal datasets, as well as contributing to analytical studies related to machine learning, clinical decision rules, and time-to-intervention evaluations. Responsibilities include curating
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University of California, San Francisco | San Francisco, California | United States | about 2 months ago
MED-ZSFG-CARD Full Time 87814BR Job Summary Zuckerberg San Francisco General Hospital and the Division of Cardiology is at the forefront of applying artificial intelligence and machine learning (AI
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University of California, San Francisco | San Francisco, California | United States | about 2 months ago
. Basic knowledge of statistics and machine-learning Basic programming skills in R and/or Python Basic knowledge of mixed effects models Preferred Qualifications Master's degree in Data Science (or related
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University of California, San Francisco | San Francisco, California | United States | about 1 month ago
for candidates interested in applying to PhD or MD/PhD programs within 2-3 years. Located in the Gladstone-UCSF Institute for Genomic Immunology, the Shy Lab is a highly collaborative and interdisciplinary
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. The salary range for this position is $87,900 - $187,700 (Annual Rate). To learn more about the benefits of working at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu
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University of California, San Francisco | San Francisco, California | United States | about 1 month ago
disease.The incumbent will also implement machine learning algorithms to analyze biological datasets. There will be frequent collaboration with bench scientists and clinicians in a highly collegial and
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in the areas of clinical data processing, including but not limited to Natural Language Processing, Machine Learning, Advanced Analytics; bring awareness to the technical team of new technologies
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(Hourly Rate). To learn more about the benefits of working at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html Department