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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 17094 Overview: The National Center for Computational Sciences (NCCS) at Oak Ridge National Lab (ORNL), which hosts several of the world’s most powerful computer systems, is seeking
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-sectional imaging Perform routine scanning electron microscopy imaging and energy dispersive X-ray spectroscopy analysis Complete basic data analysis using commercial electron microscopy software Assist in
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application solutions. Research activities include the design of efficient image preprocessing pipelines, machine learning workflows using high performance computing techniques, and conducting post-processing
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research. Your work will focus on developing selective chelation strategies and applying these systems to targeted radionuclide therapy and cancer imaging. Research accomplishments will be disseminated
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, eScience). Basic Qualifications: PhD. in Computer Science, Computer Engineering, or a closely related field. At least 3 years of experience designing or operating distributed systems, provenance frameworks
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, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: PhD. in
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materials within the uranium fuel cycle. Research topic areas will be related to understanding the effects of material processing on chemical and physical observables and translating this understanding
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. Interface with other staff working in related areas including vibroacoustic signal analysis, signal processing, optical fiber sensing, and general instrumentation. Document results in technical reports
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. Basic Qualifications: PhD in electrical/computer engineering, computer science, or a related discipline A minimum of 8 years of relevant experience in image/signal processing and machine learning