51 software-testing-short-course Postdoctoral positions at Oak Ridge National Laboratory
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research within past five years. Preferred Qualifications: Ability to work independently to design and deploy methods at scale. Familiarity with hardware-software co-design, memory hierarchies (DDR, HBM
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scientists for large-scale model training, testing, and deployment. Publish research findings in high-impact journals and present results at national and international conferences. Engage with collaborators
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scientific outputs that may include peer-reviewed publications in top-tier water journals, professional scientific code/software contributions, and high-quality datasets. Candidates must also be willing
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at scale. Experience in HPC and associated software development for applications, middleware, and/or system software. Flexibility to adapt to diverse R&D projects and tasks. Effective communicator in both
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, latency, and performance. Participation in hardware test benches for real detector systems. Experimental Detector Work: Testing and characterization of pixel detectors (CMS HL-LHC, Timepix4, AC-LGAD, PDCs
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: Experience in one more of the following areas: Mathematical methods for kinetic and/or fluid equations Multiscale problems and model reduction Modern machine learning software tools and frameworks
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machine learning software tools and frameworks Implementation of scalable numerical algorithms on HPC architectures Excellent written and verbal communication and interpersonal skills. The ability to obtain
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Requisition Id 15716 Overview: We are seeking a Postdoctoral Research Associate - Meteorologist who will focus on the development, testing, and deployment of data analysis methods for a variety of
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changing needs Preferred Qualifications Experience in radiological risk assessment Experience in biokinetic model development Experience with Monte Carlo radiation transport software and applications
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understanding of experimental design, test planning, and data interpretation for polymer composite manufacturing processes, including the ability to translate modeling results into validation experiments and