Sort by
Refine Your Search
-
state-of-the-art high-performance computing. Key Research Areas: AI for Science: Research and development of large-scale AI models for science, focusing on pre-training, instruction-based fine-tuning, and
-
, additive manufacturing, solid-state processing (rolling, extrusion, wiredrawing etc.), mechanical properties (creep, fatigue, tensile properties), microstructural analysis, thermal/electrical properties will
-
the last year. This includes marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws. For foreign national candidates: If you have not resided in
-
of gallium, graphite and rare earth elements from brine and minerals. Conduct research in benchmarking newly developed critical material separation processes relative to the current state of the art. Research
-
field experimental ecophysiology measurements Experience applying ML/AI to biological or environmental data (e.g., transformer, state space models, multi-layer perceptrons, convolutional neural networks
-
includes marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws. For foreign national candidates: If you have not resided in the U.S. for three
-
mathematical representations of quantum states and processes, develop algorithms, and produce open-source scientific software Write peer-reviewed scientific articles and present research findings at major
-
marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws. For foreign national candidates: If you have not resided in the U.S. for three consecutive
-
the last year. This includes marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws. For foreign national candidates: If you have not resided in
-
Laboratory (ORNL). The selected candidate will work in a highly collaborative environment, leveraging state-of-the-art neutron and X-ray characterization facilities to develop a mechanistic understanding of