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. Experience in cloud and atmospheric boundary layer observations, modeling, and data analysis, or in Raman and Doppler lidar system development. Strong software development background with programming
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, Physics, or a closely related field. Experience in cloud and atmospheric boundary layer observations, modeling, and data analysis, or in Raman and Doppler lidar system development. Strong software
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, Physics, or a closely related field. Experience in cloud and atmospheric boundary layer observations, modeling, and data analysis, or in Raman and Doppler lidar system development. Strong software
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the start of the appointment. * Applicant must have demonstrated research experience in Quantum Information Science, Quantum Computing, and/or Quantum Networks. Preferred Qualifications: * Experience in
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Networks. Preferred Qualifications: ● Experience in quantum network experiments/devices. ● Experience in writing research proposals. ● Experience in supervising/guiding PhD and/or MS students
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Networks. Preferred Qualifications: ● Experience in quantum network experiments/devices. ● Experience in writing research proposals. ● Experience in supervising/guiding PhD and/or MS students
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experiments, natural language processing, and network modeling. Experience mentoring students. Expertise in Python and TensorFlow. Proficiency in R, SQL for data analysis and visualization. Preferred
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experiments, natural language processing, and network modeling. Experience mentoring students. Expertise in Python and TensorFlow. Proficiency in R, SQL for data analysis and visualization. Preferred
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experiments using recombinant approaches to generate and evaluate reverse genetics modified recombinant POWVs, develop potential recombinant POWV vaccines, and to define POWV cell protein interactions, cytokine
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neuropathology. ● Conduct experiments using recombinant approaches to generate and evaluate reverse genetics modified recombinant POWVs, develop potential recombinant POWV vaccines, and to define POWV cell