Sort by
Refine Your Search
-
. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: PhD in physics, applied physics, material science
-
languages, such as Python, Igor, and labview. Excellent written and oral communication skills. Motivated self-starter with the ability to work independently and to participate creatively in collaborative
-
knowledge of models of strongly correlated electron systems. Proficiency with scripting or programmatic languages, such as Python, c, and MATLAB. Excellent written and oral communication skills. Motivated
-
• Experience working in a multi-disciplinary research environment. • Demonstrated written and oral communication skills, a proven publication record, and effective interpersonal skills. Special Requirements
-
(ORNL). This position will focus on the development, characterization, and application of engineered nanoparticles for medical isotope systems, including technologies relevant to isotope processing
-
data science to develop new methodologies for assessing and improving the quality of components fabricated using advanced manufacturing processes. This position resides in the Manufacturing Systems
-
respectful workplace – in how we treat one another, work together, and measure success. Required Qualifications: PhD in Nuclear engineering, computer science, applied mathematics, or a related field completed
-
and dynamic processes Publish research results in peer‑reviewed journals and present at scientific conferences Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core
-
, signaling pathways, or systems biology models (bioinformatics tools and models) Experience with integrated multiscale modeling frameworks connecting molecular dynamics to cellular or tissue-scale processes
-
comparative research across Mojo, Julia, Rust, and vendor toolchains. Basic Qualifications: Ph.D. in Computer Science, Computer Engineering, or related field. Experience with LLMs or agentic AI frameworks