Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
teams to codesign hardware, algorithms, benchmarks and software for QHPC systems, aiming to advance our strategic goals in leveraging quantum computing and high-performance computing (HPC) to develop
-
National Laboratory (ORNL). The MSA Group Leader will be responsible for leading research in AI/ML for sensor analytics systems, work with the section head to develop strategies for maintaining and growing
-
, regional, national, and international environmental research. Our vision is to expand scientific knowledge and develop innovative strategies and technologies that will strengthen the nation’s leadership in
-
years of achievement in local, regional, national, and international environmental research. Our vision is to expand scientific knowledge and develop innovative strategies and technologies that will
-
project contributors and vendors. Assess emerging issues that could impact project performance and develop strategies and solutions to mitigate and manage them. Work closely with project leaders and
-
, and application of engineered nanoparticles for medical isotope technologies. Develop and evaluate nanoparticle-enabled approaches for isotope stabilization, and therapeutic or diagnostic applications
-
another, work together, and measure success. Basic Qualifications: The applicant must meet the following education and experience criteria in relevant Department of Energy classification, UCNI
-
, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in Welding Engineering
-
Qualifications: PhD and 2+ years of experience in a computational discipline such as Computer Science, Statistics, Biomedical Engineering, or a related field. Experience with multi-modal learning across modalities
-
contributors to engineer solutions for developers, and users of nuclear energy modeling and simulation software. Major Duties/Responsibilities: Develop and implement numerical algorithms in advanced modeling and