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together, and measure success. Basic Qualifications: A PhD degree in Physics, Chemistry, Biology, Computer Science, or a related discipline A minimum of 3 years of experience in machine learning applied
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success. Basic Qualifications: PhD in physics, materials science, or related discipline completed within the last five years. Background in one or more of neutron scattering, X-ray scattering
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one another, work together, and measure success. Basic Qualifications: A PhD in civil engineering, electrical engineering, environmental engineering, mechanical engineering, or a related discipline
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accessibility by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: PhD in chemistry, materials science, geosciences, or a related field
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success. Basic Qualifications: A PhD in electrical engineering, mechanical engineering, computer science, or a related field completed within the last 5 years Programming environments: MATLAB, Simulink
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: Candidates must have a PhD degree in mechanical, electrical, aerospace, or nuclear engineering with a focus on instrumentation and/or controls. Experience developing control algorithms and implementing control
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accessibility by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in materials science and engineering or a related discipline
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to national-scale. Basic Qualifications: A PhD completed within the past 5 years in Agricultural/Civil Engineering, Environmental Science, Geosciences, Hydroinformatics or related background Experience with
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one another, work together, and measure success. Basic Qualifications: A PhD in physics, chemistry, material science or a related field that was awarded within the last 5 years. Preferred Qualifications
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fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: PhD in nuclear engineering or related field, completed within the last five (5) years