Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Duke University
- Susquehanna International Group
- Nature Careers
- The University of Iowa
- Purdue University
- University of Massachusetts Medical School
- The Ohio State University
- University of Pittsburgh
- Carnegie Mellon University
- Cornell University
- Georgetown University
- National Renewable Energy Laboratory NREL
- University of California Irvine
- University of Florida
- University of Texas at Austin
- University of Utah
- Virginia Tech
- Brookhaven Lab
- Drexel University
- Harvard University
- Michigan State University
- New York University
- Pennsylvania State University
- University of Alabama at Birmingham
- University of Alabama, Tuscaloosa
- University of Houston
- University of Houston Central Campus
- University of Idaho
- University of Louisville
- University of Maryland, Baltimore
- University of Minnesota
- University of Oregon
- University of Southern California
- University of Southern California (USC)
- 24 more »
- « less
-
Field
-
Posting Title Researcher II/III: EMT Modeling, Simulation and Analysis for Large-Scale Power Systems . Location CO - Golden . Position Type Regular . Hours Per Week 40 . Working at NREL The National
-
on developing advanced machine learning models to quantify phenotypic traits of crops, including corn, soybean, and other selected species. These models will leverage data collected from various sources, such as
-
computational models of the immune response for multi-scale epidemic models. This position offers an excellent opportunity for recent graduates interested in applying quantitative and computational methods
-
The Department of Biostatistics & Bioinformatics at Duke University invite applications for a postdoctoral associate position in mathematical modeling, as part of a new NIH-funded Center for Excellence in
-
will contribute to projects focused on developing advanced machine learning models to quantify phenotypic traits of crops, including corn, soybean, and other selected species. These models will leverage
-
degeneration using knock-in models of inherited retinal diseases, and contributing to the development of novel therapeutic platforms. The successful candidate will conduct independent and collaborative research
-
Saelens team. Research Project In this research project you will develop probabilistic deep-learning models that automatically extract biological and statistical knowledge from in vivo perturbational omics
-
translational research models—SHIELD supports research on therapeutic strategies, novel antimicrobial materials, and experimental models that bridge laboratory discoveries to clinical applications. The program
-
and manipulating complex data structures, Bayesian modeling, analyzing nested longitudinal data, and who are familiar with techniques for handling challenging data (e.g., highly non-normal distributions
-
using knock-in models of inherited retinal diseases, and contributing to the development of novel therapeutic platforms. The successful candidate will conduct independent and collaborative research