Sort by
Refine Your Search
-
Listed
-
Employer
- Oak Ridge National Laboratory
- Argonne
- Duke University
- University of Miami
- National Renewable Energy Laboratory NREL
- Rutgers University
- Brookhaven National Laboratory
- Cornell University
- Nature Careers
- Stanford University
- Stony Brook University
- The Ohio State University
- University of Minnesota
- University of Nevada, Reno
- Arizona State University
- Auburn University
- Carnegie Mellon University
- Illinois Institute of Technology
- Massachusetts Institute of Technology
- Missouri University of Science and Technology
- National Aeronautics and Space Administration (NASA)
- Princeton University
- Texas A&M AgriLife
- The University of Iowa
- University of Colorado
- Villanova University
- Brown University
- George Washington University
- Massachusetts Institute of Technology (MIT)
- Michigan State University
- New York University
- Northeastern University
- Ohio University
- Purdue University
- SUNY University at Buffalo
- Sandia National Laboratories
- The University of Arizona
- University at Buffalo
- University of California
- University of Central Florida
- University of Cincinnati
- University of Delaware
- University of North Carolina at Chapel Hill
- University of North Texas at Dallas
- University of St. Thomas
- University of Texas at Arlington
- 36 more »
- « less
-
Field
-
given consideration. Minimum Qualifications: PhD in Civil Engineering, Mechanical Engineering, Computer Science, or related field. Excellent written and oral communication skills. Demonstrated potential
-
Education: PhD in Civil Engineering, Mechanical Engineering, or relevant field. Certification and Licensing: Not applicable Experience: Experience in structural reliability analysis, probabilistic modeling
-
#:39540 Job Summary: How can we turn the vast and rapidly growing collections of publicly available biological data into reusable engines for discovery? And how do we build the software infrastructure
-
experience using statistical software (e.g., R and Python) and AI tools (e.g., Claude Code) are a key requirement for the position. Successful candidates should show potential to excel in tasks related to meta
-
the College of Liberal Arts at Purdue and will be involved in interdisciplinary projects including faculty from communication, psychology, and engineering at Purdue and Rice University. This is an academic year
-
, including calibrating hardware and software infrastructure for research, sensor data collection and analysis; validating and disseminating research protocols and tools; creating technology prototypes and
-
computational mesh generation. In this role, you will apply your software engineering skills to develop and validate computational results that support large-scale, physics-based simulations across a variety of
-
commuting to the assigned work location when necessary. Qualifications We Require: PhD in engineering, physics, applied mathematics, computer science or other relevant field Ability to obtain and maintain a
-
. Parsons, PhD invites applications for a postdoctoral scholar focused on research in human computer interaction, computer science, virtual humans, health technologies, simulation science, and immersive
-
and collaborative environments. Required Education: PhD from an accredited college or university in Educational Technology, Learning Technologies, Human-Computer Interaction, or a related field