Sort by
Refine Your Search
-
Listed
-
Employer
- Cornell University
- Northeastern University
- Stony Brook University
- Argonne
- Nature Careers
- Texas A&M University
- University of Minnesota
- University of Washington
- Rutgers University
- SUNY Polytechnic Institute
- Stanford University
- Fred Hutchinson Cancer Center
- Medical College of Wisconsin
- Oak Ridge National Laboratory
- Purdue University
- The University of North Carolina at Chapel Hill
- University of North Carolina at Chapel Hill
- University of Southern California
- Brookhaven Lab
- Brookhaven National Laboratory
- Duke University
- Georgetown University
- National Aeronautics and Space Administration (NASA)
- National Renewable Energy Laboratory NREL
- Pennsylvania State University
- Texas A&M AgriLife Extension
- Texas A&m Engineering
- Tufts University
- University of Alaska
- University of California
- University of California Los Angeles
- University of Central Florida
- University of Denver
- University of Kentucky
- University of New Hampshire – Main Campus
- University of North Carolina at Greensboro
- University of Oregon
- University of Southern California (USC)
- University of Texas at Dallas
- 29 more »
- « less
-
Field
-
on human trafficking, including supply chain network analysis and geospatial modeling. The successful candidate will have strong data science skills, including experience working with large, complex data
-
of Minnesota, working with Professor Russell Funk. This position focuses on using computational methods to understand how knowledge is produced, shared, and applied across complex systems. About the Project
-
oncology, infusion, radiation, proton therapy and related services, and network affiliations with hospitals in five states. Together, our fully integrated research and clinical care teams seek to discover
-
enables bold, interdisciplinary science to advance our understanding of geological hazards and Earth processes in one of North America's most complex and geologically active regions. Summary: The postdoc
-
-wave). Ability to perform advanced complex network analysis (preferably with experience on NetworkX). Ability to obtain advanced graphics (e.g. seaborn). Code in Python, C and BASH. Why Texas A&M
-
facilities in partnership with the computational science community. We help researchers solve some of the world’s largest and most complex problems with our unique combination of supercomputing resources and
-
the start of the appointment. * Applicant must have demonstrated research experience in Quantum Information Science, Quantum Computing, and/or Quantum Networks. Preferred Qualifications: * Experience in
-
. Proficiency in Python programming and major ML/DL frameworks (e.g., PyTorch, TensorFlow). Solid understanding of optimization and regularization methods for training complex neural networks. Practical knowledge
-
: Background in signal processing, network science, or statistical physics applied to time series and/or complex systems analysis. Familiarity with PNT data, spatiotemporal datasets, or related domains
-
network excitability following traumatic brain injury using a variety of techniques, including in vivo whole-cell recording and two-photon microscopy, brain slice physiology, and genetic manipulation