Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- Harvard University
- Carnegie Mellon University
- Oak Ridge National Laboratory
- Argonne
- Cornell University
- Stanford University
- Texas A&M University
- University of North Carolina at Chapel Hill
- Duke University
- University of Washington
- Nature Careers
- Princeton University
- National Renewable Energy Laboratory NREL
- New York University
- Brookhaven National Laboratory
- University of Nevada, Reno
- Central Michigan University
- Lawrence Berkeley National Laboratory
- Loyola University
- Massachusetts Institute of Technology
- Michigan State University
- Northeastern University
- Stony Brook University
- University of California, San Francisco
- University of Colorado
- University of Connecticut
- University of Michigan
- University of Oregon
- University of South Carolina
- University of Utah
- Virginia Tech
- Yeshiva University
- AbbVie
- Amgen
- Argonne National Laboratory
- Barnard College
- Boston University
- East Carolina University
- Massachusetts Institute of Technology (MIT)
- National Aeronautics and Space Administration (NASA)
- Pennsylvania State University
- Saint Louis University
- Texas Christian University
- The University of Alabama
- The University of Arizona
- The University of Iowa
- University of Alabama, Tuscaloosa
- University of California Berkeley
- University of Cincinnati
- University of Denver
- University of Kentucky
- University of Michigan - Ann Arbor
- University of Nevada Las Vegas
- University of Texas at Arlington
- University of Texas at Austin
- University of Texas at Dallas
- University of Texas at El Paso
- Villanova University
- Zintellect
- 49 more »
- « less
-
Field
-
Integrate multi-omics data with clinical, cognitive, and imaging phenotypes in longitudinal cohorts Develop and apply statistical and machine-learning models (e.g., mixed-effects models, survival analysis
-
position in biomedical informatics is available at Harvard Medical School to work at the intersection of advanced machine learning and large-scale biomedical data. The selected fellow will join a dynamic
-
in core methods of machine learning/artificial intelligence. ● Experience with data warehousing and building large, curated datasets with protected health information, suitable for training large
-
candidate would be a PhD in geophysical sciences, computer science, or machine learning with experience in developing and verifying deep learning-based models for large dynamical systems (e.g. weather
-
workflows, including adaptive, automated, or agent-based (agentic) workflows that integrate simulation, data analysis, and/or machine learning. Experience with computational workflows on large-scale HPC
-
) CV One (1) writing sample or representative work/publication Contact information for three (3) references Supervisors: Dr. Devon Noonan PhD, FNP-BC, Nursing Dr. Jessica Sperling, PhD, Social Science
-
, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
-
Science Statistics / Biostatistics Applied Mathematics Data Science Demonstrated expertise in modern machine learning, including at least one of the following: Deep learning (e.g., transformers, sequence models
-
in the United States. Preferred methodological skills include statistical analysis of survey and other large-n data, qualitative interviews, and/or text analysis and machine learning skills
-
tissues. Dr. Emfinger is looking to recruit Postdoctoral Scholars interested in islet biology and machine learning. The Postdoctoral scholar will have the opportunity to collect data, analyze large datasets