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publications, presentations, and community outreach. Minimum Qualifications: Ph.D. degree in computer science and engineering, electrical/ mechanical engineering, or closely related fields Good organizational
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be near completion, in a relevant discipline. Preferred Qualifications: Successful candidates will demonstrate a strong commitment to undergraduate, interdisciplinary teaching in the Humanities
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be near completion, in a relevant discipline. Preferred Qualifications: Successful candidates will demonstrate a strong commitment to undergraduate, interdisciplinary teaching in the Humanities
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, Math/Statistics, or related field Preferred Qualifications: Strong interest and expertise in high-energy astrophysics, particularly in timing analysis Physical Requirements and/or Unusual Work Hours
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, Math/Statistics, or related field Preferred Qualifications: Strong interest and expertise in high-energy astrophysics, particularly in timing analysis Physical Requirements and/or Unusual Work Hours
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Qualifications: The successful candidate must have: a Ph.D. degree in water resources engineering, civil and/or environmental engineering or closely related field good organizational and communication skills
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. Scott Dietrich. This is a grant-funded position and is subject to continuing based on the availability of funding. The successful candidate will investigate highly interacting electronic states in van der
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Mechanical, Aerospace or Electrical Engineering, or other related fields specializing in the area of machine learning and dynamical modeling, excellent problem-solving skills as well as good oral and written
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, the individual will work with existing field, laboratory, and model projects to execute new methods and analysis. Minimum Qualifications: The successful candidate must have: a Ph.D. degree in water resources
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similar field required. Expertise in polymers from a chemical and characterization perspective is encouraged. Preferred Qualifications: Knowledge of biomaterial/tissue interactions, gene expression