Sort by
Refine Your Search
-
Employer
- University of North Carolina at Chapel Hill
- Stony Brook University
- University of Washington
- Cornell University
- DePaul University
- Virginia Tech
- Baylor College of Medicine
- National Renewable Energy Laboratory NREL
- University of Kansas
- University of Maryland, Baltimore
- University of North Texas at Dallas
- University of Oklahoma
- University of Texas at Arlington
- Washington University in St. Louis
- Argonne
- Duke University
- Indiana University
- Los Alamos National Laboratory
- Nature Careers
- Stanford University
- The University of Chicago
- University of California, Merced
- University of Delaware
- University of Illinois at Chicago
- University of South Carolina
- University of Texas at Dallas
- University of Virginia
- 17 more »
- « less
-
Field
-
data collection and management Data analysis and model building Develop advanced deep learning and machine learning algorithms Assist with organizing large scale multimodal neuroimaging datasets, brain
-
Systems will participate in the research efforts of developing systems integration, analysis, design, control, and/or optimization models and algorithms for smart energy systems to enable smart and healthy
-
Qualifications - Experience in developing algorithms for analysis of biological data. - Experience with single cell and spatial transcriptome data analysis. - Experience in supervised and unsupervised machine
-
learning algorithms into professional software with an intuitive user interface, incorporating feedback from CHWs through iterative design and evaluation cycles. The selected candidate will be part of a
-
, especially the toroidal spectrometer, construction and commissioning of the MOLLER detector at Jefferson Lab ● Development of the SOLID software framework, tracking algorithms, DAQ subsystem and various
-
on the development and application of cutting-edge computational methodologies to discover the rules of life underlying virus-host interactions, especially at the genetic, molecular, and cellular levels
-
Description NREL is seeking a postdoc to design, train, and analyze the AI/ML and control algorithms for hybrid energy systems including industrial systems, building controls, and advanced energy systems
-
molecular biology. This research opportunity will be focused primarily on developing tightly integrated sequencing experiments and computational algorithms to characterize biomolecular interactions with high
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
of models and observational data using Python, Matlab, R, etc. Expertise required in developing new models, algorithms for dispersion, gas-phase chemistry and/or aerosol microphysics model Preferred
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
of models and observational data using Python, Matlab, R, etc. Expertise required in developing new models, algorithms for dispersion, gas-phase chemistry and/or aerosol microphysics model Preferred