62 software-testing-short-course Postdoctoral positions at Oak Ridge National Laboratory
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multi-disciplinary research environment that follows modern software quality standards (version control, unit testing, continuous integration, etc.). Experience in the development of large-scale physics
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computational physics, computational materials, and machine learning and artificial intelligence, using the DOE’s leadership class computing facilities. This position will utilize methods such as finite elements
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physical characterization techniques (differential scanning calorimetry, dynamic light scattering, small angle neutron and/or x-ray scattering) to characterize the DIBs; and (3) Develop/implement image
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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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, Neutron Sciences Directorate at Oak Ridge National Laboratory (ORNL). The qualified candidate will study, simulate and develop software for beam transport and beam dynamics in SNS superconducting linac
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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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testing data. Knowledge of scientific software in python (numpy, scipy, pandas) or related data analysis suite. Record of productive and creative research as demonstrated by publications and conference
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experience in urban-scale building energy modeling. Understanding for creating, modifying, and analyzing OpenStudio and EnergyPlus building energy models. Strong software development skills for automation
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/Responsibilities: • Design and test novel quantum algorithms for materials simulations. • Develop resource estimates for implementing these algorithms on quantum hardware • Perform hybrid quantum-classical
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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