Sort by
Refine Your Search
-
Employer
- Harvard University
- Zintellect
- Indiana University
- University of Michigan
- City of Hope
- Cornell University
- Center for Drug Evaluation and Research (CDER)
- University of California
- University of Maryland, Baltimore
- Carnegie Mellon University
- Dana-Farber Cancer Institute (DFCI)
- University of Cincinnati
- University of Texas at Austin
- Yale University
- Central Michigan University
- Johns Hopkins University
- Northeastern University
- Center for Astrophysics | Harvard & Smithsonian
- Florida Atlantic University
- Missouri University of Science and Technology
- Oden Institute for Computational Engineering and Sciences
- The University of Alabama
- University of Colorado
- University of Michigan - Ann Arbor
- University of North Carolina at Charlotte
- University of Notre Dame
- Villanova University
- Amgen
- BU Pulmonary
- Colorado State University
- Georgia Southern University
- Hanyang University
- Kyung Hee University
- Lawrence Berkeley National Laboratory
- Margaret M Redfield
- Marquette University
- Mayo Clinic
- Memorial Sloan Kettering Cancer Center
- Oak Ridge National Laboratory
- Office of the Commissioner (OC)
- Pennsylvania State University
- SUNY University at Buffalo
- Seoul National University
- Simons Foundation/Flatiron Institute
- The University of Texas MD Anderson Cancer Center
- University of Alabama, Tuscaloosa
- University of California, San Diego
- University of Denver
- University of Idaho
- University of Michigan (U-M)
- University of Pennsylvania
- Virginia Tech
- Visterra, Inc.
- Wayne State University
- 44 more »
- « less
-
Field
-
networks. Data Collection: Conduct in vivo neurophysiological recordings and behavioral assays in mice and tree shrews. Data Analysis: Process large-scale neural datasets, applying computational tools
-
* Develop and apply analytical pipelines integrating high-throughput proteomic data with metabolomic, genomic, and clinical datasets from large prospective cohort studies to identify biological signatures
-
frameworks that integrate multimodal data to predict therapeutic response. Construct scalable pipelines for analyzing large longitudinal genomic cohorts. Validate computationally derived biomarkers in
-
laboratory Our research focuses on large-scale pan-cancer genomics to gain insight into the genes, mutational processes and evolution of cancer. Our work is highly data-driven, with a focus on large-scale data
-
institution systems may be submitted. Click here for detailed information about acceptable transcripts. A current resume/CV, including academic history, employment history, relevant experiences, and
-
Federal periods, due in large part to generous gifts from Francis P. Garvan, B.A. 1897. Yale’s collection of early silver is noted for superior examples from New England, New York, and Philadelphia
-
, multimodal, and agentic AI, as well as foundation models, with a focus on geometric deep learning, large-scale knowledge graphs, and large language models. Fellows will also have the opportunity to apply
-
environment. We are chemical biologists who build tools to answer big questions in sugar biology, and we care as much about your growth as we do about the science. You will join a supportive, creative, and
-
experimental X-ray scattering data. System Stability: Ensuring numerical reproducibility and stability in large-scale distributed training workloads. Learn more: Our benefits , where we prioritize your well
-
. The qualified candidate will design and lead projects grounded in data analysis in the domain of computational pediatric cancer research. They will develop and support data processing and analysis tools, create