Sort by
Refine Your Search
-
at scientific conferences, and contributing to proposal development for future research initiatives. Major Duties / Responsibilities: Synthesize and characterize advanced one-dimensional (1D) and two-dimensional
-
innovative project aimed at enhancing global and domestic supply chain resilience through the development of advanced supply chain analytical tools. The role will require ability to understand and integrate
-
scientific discovery. Research areas include solid-state batteries with lithium and sodium metal anodes, as well as the morphology evolution of materials coupled with electrochemical and mechanical phenomena
-
results, and in the development of technical reports and presentations is required. Knowledge of the use of computers to design and control experiments and to analyze and interpret experimental data is
-
fast-moving research setting where methods development, software implementation, experimentation, and scientific communication are all important parts of the role. Core Responsibilities: Conduct research
-
laboratories. The broader goal is to enable AI-driven materials discovery, autonomous synthesis, and the development of high-quality, reusable datasets that support adaptive experimentation and long-term
-
, battery electric and fuel cell powertrain design, development of supervisory control logic, validation of vehicle models against test data etc. The projects and interests of this group span all modes
-
, competitive, and energy-efficient U.S. manufacturing systems. The appointee will be expected to lead core model development and as needed, help expand capabilities in co-optimization of industrial end-use and
-
in experimental physics and superconducting device development, with a focus on advancing multipixel single-photon camera technology and multiplexed readout for quantum information science applications
-
that influence the development, intensification, and persistence of extreme events, using observational datasets, machine learning, and Earth system modeling. The successful candidate will work with observational