Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Oak Ridge National Laboratory
- Texas A&M University
- George Washington University
- Texas A&M AgriLife
- Texas A&m Engineering
- University of Luxembourg
- University of New South Wales
- University of Washington
- Argonne
- Brookhaven National Laboratory
- Chalmers University of Technology
- EPFL
- KTH Royal Institute of Technology
- Kennesaw State University
- King's College London
- Lehigh University
- Lodz University of Technology
- Lulea University of Technology
- Pennsylvania State University
- Poznan University of Technology
- Purdue University
- Saarland University
- Sandia National Laboratories
- Technical University of Munich
- Texas A&M AgriLife Extension
- University of California Irvine
- University of Connecticut
- University of Florida
- University of Liverpool
- University of Oxford
- Warsaw University of Technology
- Washington State University
- Wroclaw University of Science and Technology
- 23 more »
- « less
-
Field
-
open-source research software packages; Publish research results in high-quality journals and competitive conference venues. Due to the nature of the work, the selected applicant will be required to work
-
implementation of constitutive models within commercial and/or open-source finite element software is required. Preferred Qualifications: Demonstrated expertise in multi-physics FE simulations is preferred
-
-changing needs Preferred Qualifications: Experience in radiological risk assessment Experience in biokinetic model development Experience with Monte Carlo radiation transport software and applications
-
the development and application of first principles methods and their incorporation into agentic AI workflows for materials discovery. Emphasis will be placed on robust, efficient, and sustainable software
-
an international team. -Ability to multi-task and work cooperatively with others. -Ability to utilize a computer and applicable software to create databases, perform statistical analyses, present data and perform
-
AI or machine learning applications. Formal training or professional experience in audio engineering, recording arts, or signal processing. Experience with acoustic software platforms (e.g., Pro Tools
-
relevant technical software, such as Cadence, SPICE, Verilog, etc. are needed; • Background knowledge in neural network algorithms preferred, but not required • Collaborative skills, student mentorship
-
, including hardware, software, tools, and applications Apply your proficiency in developing sophisticated software systems, such as operating systems, compilers, adaptive runtime systems, or scalable
-
dark-field STEM imaging, energy dispersive X-ray spectroscopy (EDS) and electron energy loss spectroscopy, at the intersection of electron microscopy, software engineering and machine learning. Major
-
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