438 cloud-computing-"https:" "https:" "https:" "https:" "https:" "St" "St" "St" "St" positions at Harvard University
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Details Title Postdoctoral Fellow in Biomedical Informatics School Harvard Medical School Department/Area Position Description The successful candidate will work with Chirag Patel’s group to produce
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workshops to further develop research and communication skills. Basic Qualifications: Bachelor's degree in computer science or closely related field. Additional Qualifications: Demonstrated interest in
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) data analysis, workflow automation, and cloud computing. This role will support research and production environments where reproducibility, scalability, and performance are critical. The successful
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. Please document your success in the classroom and your organizational skills. Special Instructions: Please submit the materials listed below through mathjobs.org: https://www.mathjobs.org/jobs/27618
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Details Title HMS - Associate in Biomedical Informatics (Zitnik Lab) School Harvard Medical School Department/Area Research Position Description The Associate will engage in academic research and
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). Practical experience with cloud computing platforms (e.g., AWS, GCP, Azure). Additional Qualifications Experience with multi-GPU model training and large-scale inference. Familiarity with modern AI
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and contact information for three people who have agreed to serve as your reference Contact Information 10 Shattuck St. Boston, MA 02115 Contact Email heather_viana@hms.harvard.edu Salary Range https
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, machine learning and AI, statistical computing, big data and AI applications and prediction in biology, medicine and infectious diseases. Potential research projects include (but are not limited
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Details Title HMS - Postdoctoral Fellow in Biomedical Informatics (DBMI) School Harvard Medical School Department/Area Biomedical Informatics-Quad Position Description The Department of Biomedical
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). Practical experience with cloud computing platforms (e.g., AWS, GCP, Azure). Additional Qualifications Experience with multi-GPU model training and large-scale inference. Familiarity with modern AI