53 phd-software-testing-scholarship Postdoctoral positions at Oak Ridge National Laboratory
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contributors to engineer solutions for developers, and users of nuclear energy modeling and simulation software. Major Duties/Responsibilities: Develop and implement numerical algorithms in advanced modeling and
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computational mesh generation. In this role, you will apply your software engineering skills to develop and validate computational results that support large-scale, physics-based simulations across a variety of
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to optimize utility of captured signals Conceive, write, and submit proposals to develop and expand a research program investigating signal collection and analysis for mission objectives Qualifications: A PhD
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experiments in the SNS ring including experiment design, and data analysis. Develop software for data acquisition and analysis as needed. Perform simulations using a well-tested model of the SNS ring to
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advanced computational approaches, software engineering, high-performance computing, and an understanding of materials science, with an emphasis on metallurgy related to phase transformations and/or
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will conduct research on irradiated materials using the capabilities of the Irradiated Materials Examination and Testing Facility and the Low Activation Materials Development and Analysis Laboratory
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Requisition Id 16127 Overview: We are seeking a Postdoctoral Research Associate who will develop and apply electronic structure theory approaches to examine the fundamental properties of a range
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analysis software. The prospective candidate will also have the opportunity to develop their own science that will complement the proposed DIB studies. Major Duties/Responsibilities: Study droplet interface
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by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in physics or a related field completed within the last 5 years
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on designing system software for automating processes such as intelligent data ingestion, preservation of data/metadata relationships, and distributed optimization of machine learning workflows. Collaborating