Sort by
Refine Your Search
-
resources. Present and report research results and publish scientific results in peer-reviewed journals in a timely manner. Ensure compliance program requirements for environmental, safety, health, and
-
applied research in support of ORNL’s mission. Specific responsibilities include: Participation in the development and analysis of new computational methodologies for scientific problems, often customized
-
, work together, and measure success. Basic Qualifications: A PhD degree in Computer Science or a related discipline. A strong background in scientific data visualization, uncertainty quantification, AI/ML
-
system science and engineering. Major Duties/Responsibilities: The position requires collaboration within a multi-disciplinary research environment consisting of mathematicians, computational and computer
-
– in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in materials science, applied mathematics, computer science, or an AI related field completed within
-
computed tomography (CT) reconstruction, including sparse-view and limited-angle algorithms, and the application of advanced machine learning (ML) and computational imaging methods to scientific and
-
system science and engineering. Major Duties/Responsibilities: The position requires collaboration within a multi-disciplinary research environment consisting of mathematicians, computational and computer
-
3D scientific data. This position resides in the Data Visualization Group in the Data and AI Systems Section, Computer Science and Mathematics Division, Computing and Computational Sciences Directorate
-
mission. Specific responsibilities include: Participation in the development and analysis of new computational methodologies for scientific problems, often customized to complex and large-scale scientific
-
: Participation in the development and analysis of new computational methodologies for scientific problems, often customized to complex and large-scale scientific applications Delivery and support of mathematical