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Education and Experience: PhD in Physics, Optics, or Photonics Required Knowledge, Skills, and Abilities: Strong publication skills Excellent scientific writing ability and good communication skills Knowledge
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want The postdoctoral research associate will be working on developing machine learning/artificial intelligence algorithms for various applications, including energy systems, health systems, and marine
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employment is contingent upon availability of these funds in the future. Required Education and Experience: PhD in Physics, Optics, or Photonics Required Knowledge, Skills, and Abilities: Strong publication
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. The Postdoctoral Research Associate will work primarily with Professor Qian Yuan and Professor Benchun Duan to develop and employ algorithms to link mantle convective processes with earthquake ruptures. The position
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algorithms, environmental time series and anomaly detection. SALARY: Up to $6,250.00 Monthly ($75,000.00 Annual, Approximately) NOTE This is a grant funded position with continued employment contingent upon
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Entrepreneurship. For this position, we seek scholars who have an interest or experience in both mentoring doctoral students and teaching at the graduate level (e.g., PhD, MBA, executive MBA). The successful
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. Write manuscripts, develop research goals, and mentor student. Qualifications: Appropriate PhD. Ability to stand for extended periods to perform laboratory duties. Ability to lift and move heavy objects
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humanities projects. Help develop digital humanities collections and exhibits. Promote advanced use of library resources like text mining, artificial intelligence, algorithms, and digital platforms. Provide
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faculty, over 100 PhD students, and approximately 2,000 undergraduate majors. Texas A&M University is a land, sea, and space grant institution that holds the distinction of classification as an R1 Doctoral
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for those interested in or considering a PhD in Finance. You will provide skilled administrative and technical support for faculty research while providing assistance across various phases of research