Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- Argonne
- University of Washington
- Indiana University
- Villanova University
- Washington University in St. Louis
- Auburn University
- Columbia University
- Medical College of Wisconsin
- Princeton University
- Stanford University
- The Ohio State University
- University of Cincinnati
- University of Colorado
- University of North Texas at Dallas
- Brookhaven Lab
- Case Western Reserve University
- Chapman University
- Florida International University
- George Washington University
- Georgetown University
- Harvard University
- Los Alamos National Laboratory
- Marquette University
- Northeastern University
- Oak Ridge National Laboratory
- Open Society Foundations
- Pennsylvania State University
- Rutgers University
- Texas A&M University
- The University of Chicago
- The University of Iowa
- University of California, Merced
- University of Michigan
- University of Oklahoma
- University of South Carolina
- University of Texas at Austin
- Washington State University
- Wayne State University
- 28 more »
- « less
-
Field
-
feel, perfecting a unique balance between a close-knit community and driving consistent growth and development. Paralleling the exponential growth of Auburn University, the Auburn/Opelika area boasts
-
parallel testing facilities for companion dogs and children, including equipment for eye-tracking, thermal imaging, touch screen studies, behavioral analysis from video. There is also the possibility
-
turbulent combustion applications, as well as parallel scientific computing. Knowledge of deep machine learning (using TensorFlow, PyTorch, etc.) for multi-fidelity modeling, regression tasks, management and
-
with Python and R programming languages. Experience with functional genomic technologies including massively parallel reporter assays. Biomedical informatics or biomedical research experience. Preferred
-
. Among the methods used are high-throughput CRISPR screening, protein deep mutational scanning, massively parallel reporter assays, and genetic manipulation of cell lines and mice. The successful candidate
-
screening (e.g., luciferase assays, high-content imaging, massively parallel/multiplexed assays, etc.) is desirable. Ability to interpret and discuss experiments and critically contribute to writing
-
analyzing omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical.]; data management and analysis solutions that assist in storage, investigation and dissemination of large data
-
with Python and R programming languages. Experience with functional genomic technologies including massively parallel reporter assays. Biomedical informatics or biomedical research experience. Preferred
-
methods and transmission electron microscopy will take place in parallel with neuropathological and structural studies. The Dementia Laboratory has active collaborations with national and international
-
Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
: Expertise in rare event simulation, deep learning, and developing computationally efficient approaches for simulation and modeling in complex systems is highly desirable Experience with parallel computing