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or PhD in Computer Science, Computer Engineering, Cybersecurity, or related fields with 2 years of experience. Experience architecting and implementing complex distributed systems and willingness to learn
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awareness and understanding of open relevant research conducted throughout the DOE complex and the world. Basic Requirements: PhD in Mechanical Engineering, Electrical or Computer Engineering, or related
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to accelerate multiscale materials and flow sciences. Major Duties/Responsibilities: Collaborate within a multi-disciplinary research environment consisting of computational scientists, computer scientists
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, process, and analyze large volumes of satellite imagery Support the design and implementation of efficient computer vision techniques Visualize and communicate research results through technical reports
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computer-controlled instrumentation for online or at-line measurements. Develop quantitative calibration, signal processing, chemometrics, uncertainty evaluation, data acquisition, and analysis workflows
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with 8 years of experience or MS with 7 years of experience or a PhD with 2 years of experience in engineering, computer science, physics, mathematics, natural sciences, or related field. Experience with
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Qualifications: PhD. in Computer Science, Computer Engineering, or a closely related field. At least 2 years of experience designing or operating distributed systems, APIs, or workflow orchestration frameworks
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within a multi-disciplinary research environment consisting of computational scientists, computer scientists, electrical engineers, domain scientists, and applied mathematicians conducting basic and
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mechanical engineering, material science, electrical engineering, computer engineering, computer science, data science, applied mathematics, or a closely related field Demonstrated experience with multimodal
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Center for Computational Sciences. They will collaborate with leading computer and computational scientists at ORNL and external collaborators in the development and application of new computational