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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
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Engineer will conduct R&D in nuclear nonproliferation with expertise in computational nuclear reactor physics through modeling and simulation (M&S). The candidate will perform analysis and methods
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that have applications in multiple sectors of importance in the Department of Energy. The primary focus will be developing separation methods using mass spectrometry including microfluidics, MEMS, and mass
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fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in mechanical engineering, computer science, or a related field completed within
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success. Basic Qualifications: A PhD in mechanical engineering, manufacturing engineering, industrial engineering, materials science and engineering, mechatronics, electrical engineering, controls
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-throughput phenotyping at ORNL's Advanced Plant Phenotyping Laboratory (APPL) with paired geochemical and microbial measurements. Utilize laboratory equipment and software that may include a Picarro gas
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, field observations and experiments, and advanced analytical techniques. Major Duties/Responsibilities: Develop and apply AI/ML methods to integrate heterogeneous geospatial, remote-sensing, hydrological
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to research proceedings and publications Prepare technical reports Deliver briefings to stakeholders Basic Qualifications: A PhD in Chemical Engineering, Mechanical Engineering, Physics, Materials Science
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and aspects related to safety and best practices. The candidate will make extensive use of state-of-the-art imaging, spectroscopy (Raman, electron microscopy, infrared, etc.) and scattering methods
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Requisition Id 16802 Overview: We are seeking a Postdoctoral Research Associate for the development and application of advanced multiphysics simulations, and machine learning (ML) methods relevant