Sort by
Refine Your Search
-
languages, such as Python and C++. Demonstrated experience in structural materials, such as research in phase transformations or mechanical behavior. Demonstrated effective written and oral
-
: Python, R, Julia, MATLAB, Rust, C++, Fortran. Communication and collaboration : Excellent speaking and writing skills, especially for communication of scientific concepts to interdisciplinary audiences
-
(HPC), or large-scale data analysis. Experience in applying AI/ML techniques to hydrological and Earth sciences. Proficiency in scientific programming languages such as Python, Julia, R, Fortran, or C/C
-
/or Python for model development, automation, signal processing, and large-scale data analysis. Active or eligible for a U.S. Department of Energy (DOE) Q clearance. Special Requirements: Visa
-
Experience with numerical computing using programming languages such as C++, Python, etc. Author or co-author of open literature publications Special Requirements: Applicants cannot have received their Ph.D
-
Neuromorphic computing or Spiking Neural Networks Machine learning, AI/ML algorithms, or scientific computing Strong programming skills in Python and/or C++. Preferred Qualifications: Ability to work
-
software. Experience with MATLAB, C++, or Python. At least 7 years’ relevant experience with modeling of electric motors and electromagnetics. Experience in designing and fabricating electric motors
-
preferred; experience using Python, R, and/or OriginLab is highly desirable. Excellent written and oral communication skills. Motivated self-starter with the ability to work independently and to participate
-
technologies Proficiency in using Excel, Python, R or similar tools for engineering data analysis is preferrable Excellent written and oral communication skills Motivated self-starter with the ability to work
-
data analytics using tools in programming languages such as Python, PyTorch, Pandas, Scikit Learn, etc., in applied problem-solving contexts. Understanding of machine learning algorithms (gradient