180 data-"https:"-"https:"-"https:"-"https:"-"Inserm" positions at Oak Ridge National Laboratory
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respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: BS degree in business, english, information management, or related field with a minimum of five
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of computational scientists, computer scientists, experimentalists, materials scientists, and conduct basic and applied research in support of the Laboratory’s mission. Engage with the broader community
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knowledge through on-the-job training programs. Quality Control and Improvement: Work closely with the QA/QC department to identify and rectify non-conformities. Regularly review post-production quality data
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quantum state transduction are strongly preferred. The ideal candidate is expected to develop and lead research efforts focused on the transduction of quantum information between light, spins, and microwave
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applied mathematics and computer science, experimental computing systems, scalable algorithms and systems, artificial intelligence and machine learning, data management, workflow systems, analysis and
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will involve designing beam dynamics experiments, measurement, simulation, and data analysis. This position resides in the Accelerator Physics Group in the Accelerator Science and Technology Section
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, or other programming language for data analysis and/or instrumentation control. Preferred Qualifications: Experience in the professional field relevant to this application, such as post-doctoral appointments
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Laboratory) with a broad range of radiation types, exposure geometries, and dose rates. Advanced experience with programming languages, data management systems, SQL, Oracle server databases and creating SQL
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performance data and craft feedback. Coordinate multi-craft maintenance activities and building outages to minimize downtime and support system reliability. Lead pre-job planning and stakeholder meetings, and
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of coastal wetlands to environmental disturbances. Data Integration and Analysis: Perform multimodal and multiscale data analysis by integrating a diverse range of datasets, including in situ observations