Sort by
Refine Your Search
-
with quantum and classical programming languages and scientific computing. Preferred Qualifications: We welcome candidates with strengths in several of the following areas; no single candidate is
-
. Demonstrated expertise in using machine learning and optimization frameworks in conjunction with FE simulations to assist with component and/or process design is preferred. Excellent written and oral communication
-
optimization methods Track record of publications in relevant journals/conferences (e.g., ASME, IEEE, ASHRAE) Excellent written and oral communication skills. Motivated self-starter with the ability to work
-
, material and energy balances, and process performance metrics Demonstrated ability to communicate well in a team environment Excellent written and oral communication skills Preferred Qualifications
-
development skills using C/C++ and Python programming languages, with experience developing, validating, debugging, and evaluating research software. Demonstrated record of conducting independent research and
-
journals. Excellent written and oral communication skills and the ability to communicate in English to an international scientific audience. Motivated self-starter with the ability to work independently and
-
applications. AI methods for CFD and FEM; multiphysics code integration. Experience with open-source fusion engineering codes (FESTIM, VertexCFD, OpenMC, etc). Excellent written and oral communication skills
-
priorities in a fast-paced environment, and adapting to evolving research and programmatic needs. Excellent written and oral communication skills. Ability to function well in a fast-paced research environment
-
Postdoctoral Research Associate - Multifunctional Equipment Integration Energy Conversion Technology
oral communication skills. Proven publication record. Preferred Qualifications: Experience with heating, ventilation, and air-conditioning (HVAC) equipment. Experience with prototype development
-
(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