Sort by
Refine Your Search
-
Listed
-
Employer
- Texas A&M AgriLife
- National Energy Technology Laboratory (NETL)
- University of Central Florida
- Duke University
- Oak Ridge National Laboratory
- Cornell University
- University of New Hampshire
- Yale University
- Carnegie Mellon University
- National Aeronautics and Space Administration (NASA)
- Pennsylvania State University
- Rutgers University
- Stanford University
- University of Minnesota
- University of New Hampshire – Main Campus
- University of Washington
- Anacker Lab
- Fred Hutchinson Cancer Center
- George Washington University
- Harvard University
- New York University
- Sandia National Laboratories
- Swarthmore College
- Syracuse University
- TTI
- Texas A&M AgriLife Extension
- Texas A&M University
- The University of Arizona
- University of Nevada, Reno
- University of North Carolina at Chapel Hill
- Virginia Tech
- 21 more »
- « less
-
Field
-
individual differences in stress vulnerability and resilience with a specific focus on how early life adversity shapes hippocampal and corticolimbic circuit function to influence fear behavior and cognitive
-
Bayesian inference, likelihood-free inference, uncertainty quantification, identifiability analysis, or scientific machine learning. Strong programming skills (Python, Julia, Matlab, C++, or similar). Strong
-
. The candidate will lead the C++ / Unreal Engine software engineering efforts, ensuring sub-millisecond data synchronization between simulation frameworks and external Python-based AI models hosted at partner
-
of research proposals and advise graduate students. Demonstrated leadership/managerial and organizational skills. Full professional proficiency in one of the following languages: Python (including PyTorch and
-
pain and sensory processing differ between females and males, how physiological states such as pregnancy remodel neural circuits, and how maternal experiences can shape sensory function across
-
software that allow time-evolving models of complex systems to be calibrated against sparse, indirect, and uncertain observations. The group develops and maintains an open-source Python framework
-
modeling and environmental data analysis, such as Python, MATLAB, Fortran, C/C++, or comparable languages and tools. Ability to work with large datasets and to integrate these data with acoustics models
-
learning, decision-making, belief updating) Coordinating large database of computational task data for harmonized analyses Modeling individual differences and within-person change over time in a longitudinal
-
make a difference in the world! Position Information Texas A&M AgriLife Research at Temple is seeking a highly motivated Postdoctoral Research Associate with expertise in precision agriculture
-
MATLAB, Python, R, or related platforms when applicable. Support the development of innovative analytical methods for neurophysiological signal interpretation and epilepsy research. Scientific