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analytical and modeling approaches to interpret experimental results. Collaborate with internal and external research teams to define and advance research directions. Present research findings and publish
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Distinguished Staff Scientist (Cancer Biology and Radiopharmaceutical Therapy Development and Advanc
use of mammalian cancer model systems, including 2D and advanced in vitro approaches, to evaluate therapeutic response in relevant tumor contexts. Evaluation of radiopharmaceutical constructs and
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bring relevant parties together to explore and decide on specific collaborative projects. Understand the OLCF science impact business model and be able to explain it to potential users so they understand
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principal investigators, management, engineers, fabricators, modelers, and test campaign personnel. Supporting large complex nuclear safety analyses focusing on integrated used fuel storage, transportation
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. You will perform cutting-edge research on theory and modeling of dynamics in condensed matters. Major Duties/Responsibilities: Development of theoretical framework for driven and open quantum systems
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Requisition Id 16569 Overview: The Grid Transients & Advanced Modeling Group in the Electrification and Energy Infrastructure Division (EEID) within the Energy Science and Technology Directorate
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Requisition Id 16570 Overview: The Grid Transients & Advanced Modeling Group in the Electrification and Energy Infrastructure Division (EEID) within the Energy Science and Technology Directorate
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checks, and constructability reviews. Maintain design files, drawings, and model data within CAD and product data management systems. Deliver ORNL’s mission by aligning behaviors, priorities, and
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such as quantum and analog computational models. You will explore how compilers, runtimes, and AI-driven agents can co-optimize complex architectures, reasoning across conventional processors (CPUs/GPUs
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. Experience with developing machine-learning surrogates for structure-property relationship, generative AI models, material representations, machine learning force-fields (especially extensions to spinful