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at the University of Cincinnati seeks a tenure-track Assistant Professor in Computational Neuroscience with research areas including, but not limited to: • Modeling and method development for analyzing nervous system
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existing strengths in the department, or thematic areas of interest. Develop and teach an archaeological field school course to train students in archaeological field methods. Develop an externally funded
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Research Asst/Assoc/Full Professor, Department of Biostatistics, Health Informatics and Data Science
biomedicine. The ideal candidate must hold a PhD and possess strong methodological expertise in areas such as generative AI, machine learning, decision support methods, and the evaluation and validation of AI
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for specific courses. Office hours (can be virtual) are required to meet with students as needed. Minimum Requirements Qualified applicants must have obtained a Master?s or PhD degree in an engineering field
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Requirements Candidates must meet one of two requirements: 1) Have earned a Master's degree in Engineering, or a closely related field for if hired to teach undergraduate classes or a PhD if hired to teach
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include face-to-face and online versions. Provide institution-building service to the Department and College (e.g., serve on committees such as the PhD Committee or the Research Excellence Committee, advise
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, etc.). Perform related duties based on departmental need. This job description can be changed at any time. Required Education PhD and/or MD required. Required Experience Additional related work
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Design (MUD); and a Ph.D. degree in architecture. There are approximately 110 Masters of Architecture students, 16 PhD students, and a total of 688 students in the School and 25 full-time faculty
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for antibody screening, immunoglobulin subtype identification, titer analyses and donor-recipient cross-match by using state of the art methods that include, but not exclusively, flow cross-match and Luminex
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activities such as speaking at recruiting events, hosting lab tours, helping with summer camps, etc. Minimum Requirements Prior to the effective date of appointment, a PhD in Mechanical Engineering or related