Sort by
Refine Your Search
-
will design and implement differential privacy solutions for large-scale scientific data models in federated learning environments. You will advance privacy-preserving machine learning by developing
-
for extreme-scale, heterogeneous computing. This role sits at the intersection of compiler infrastructure, formal verification, runtime systems, and hardware/software co‑design—expanding into emerging paradigms
-
and Polymer Chemistry Section, Chemical Sciences Division, Physical Sciences Directorate, at Oak Ridge National Laboratory (ORNL). This METALLIC (Minerals to Materials Supply Chain Facility) project
-
results, identify technical challenges, develop solutions, and provide recommendations for system improvement. Prepare technical reports, peer-reviewed publications, presentations, and project deliverables
-
interact closely with industry partners. These engagements will play a vital role in ensuring success of programs and the adoption by project sponsors, and in developing your network across academia and
-
) methods for modeling and optimization of metallic materials and advanced manufacturing processes. Participate in the design of integrated, scalable numerical methods and uncertainty quantification. Follow
-
the task, the candidate will work directly with WAP and software experts to identify, gather, curate, and analyze novel datasets not previously available to researchers. This position resides in
-
Design Group in the Materials Science and Technology Division (MSTD), Physical Sciences Directorate (PSD) at Oak Ridge National Laboratory (ORNL). This position lives in the Alloy Behavior and Design Group
-
single node between multiple secure workloads. Investigate and evaluate mechanisms for secure encrypted communication across RDMA based networks. Design and evaluate key distribution and management
-
of renewable energy and energy efficiency management and projects excellent quantitative and analytical background acquired through research, which can be applied to conduct research analyses on on-site energy