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Field
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planning and ability to articulate these concepts to others Proven capacity to work independently on several projects in parallel; strong organizational planning skills, Customer-oriented focus, and high
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, high field and pulsed EPR, CD, femtosecond laser spectrometers, microscopes, FTIR spectrometers, steady state and time resolved emission laser spectrometers, molecular graphics, and parallel computing
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. Experience in developing and applying advanced parametric/machine learning postprocessing techniques, producing probabilistic forecasts of hydrometeorological variables, and parallel computing. Proficiency in
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are critical to achieving success. Ability to work on and track multiple tasks in parallel, maintaining progress and quality. Proficient in the use of, or ability to quickly learn, project management
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equipment and digital imagery, e.g., methods to capture parallel and bisecting angles. Assist faculty with students’ clinical/laboratory experience; provide input to students on appropriate X-ray procedures
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training sessions for staff users of the system. Assist in troubleshooting any issues with parallel systems, such as MyNova or Banner, which pertain to the admissions and onboarding process. Cross
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are at the instructor rank and have a parallel path to promotion. All CT faculty earn sabbaticals, have opportunities to pursue research, participate in shared governance, and hold academic leadership positions. Primary
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-scale scientific data. Publishing research in leading peer-reviewed journals and conferences. Researching and developing parallel/scalable uncertainty visualization algorithms using HPC resources
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parallel computing. Demonstrated hands-on experience and understanding of developing scientific data management, workflows and resource management problems. Strong problem-solving and communication skills
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journals and conferences. Researching and developing parallel/scalable uncertainty visualization algorithms using HPC resources. Collaboration with domain scientists for demonstration and validation