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bacteria is desirable Experience analyzing large datasets, including sequencing and ‘omics data Proven publication record Excellent written and oral communication skills Motivated self-starter with
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on the development and application of machine learning algorithms in areas such as surrogate modeling for physical systems, data assimilation, and scientific data reduction. The position comes with a travel allowance
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Spectrometry. Experiences in data reduction of large mass spectrometry and image data are required. Skills and hands-on experiences in nano- and micro-fabrication of MEMS and microfluidics are desirable
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solutes and aquatic microorganisms. Independently and collaboratively leading field and laboratory studies. Maintaining detailed scientific records, analyzing experimental data, presenting results within
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Engineering Division (CSED) at Oak Ridge National Laboratory. The candidate will be expected to contribute to the large scale simulations for electrochemical systems and development of numerical algorithms and
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scattering communi (https://neutrons.ornl.gov). The position resides in the SANS and Spin Echo Group, part of the Large Scale Structures Section of the Neutron Scattering Division at Oak Ridge National
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which involves big data processing, data analytics, machine learning, high-performance computing resources, computer vision, and building science to create, model, simulate, validate, and analyze building
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and computer science, experimental computing systems, scalable algorithms and systems, artificial intelligence and machine learning, data management, workflow systems, analysis and visualization