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applicants in the research areas listed above. Successful candidates will be expected to teach courses in electrical and computer engineering at both the undergraduate and graduate levels; develop a research
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undergraduate and graduate programs. Candidates with expertise in machine learning, big data, mathematical finance and probability theory are particularly encouraged to apply. The department expects to support
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Comprehensive computer skills, with the ability to learn and utilize new and emerging technology This position demands accuracy, honesty, integrity, and the ability to work within the Christian mission
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applicants in the research areas listed above. Successful candidates will be expected to teach courses in electrical and computer engineering at both the undergraduate and graduate levels; develop a research
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, natural language processing (NLP) and machine learning Connected and autonomous vehicles Disaster and natural Hazard assessment and management Discrete element method (DEM) and finite element methods (FEM
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, invites applications for part-time instructors (Lecturers) for Spring 2026 to teach in various undergraduate courses offered by the Department of Ecology, Evolution, and Natural Resources, which will be
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on the capability of robots and other agents to develop broadly intelligent behavior through learning and interaction. The group works on robotics and machine learning, and it is affiliated with SAIL, the ML Group
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an MD or PhD in Biochemistry, Neuroscience, Microbiology, Immunology, Genetics/Genomics, Biomedical Sciences, Biology, or a related field of study from an accredited institution or a terminal degree in
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join our multi-disciplinary team of researchers, including immunologists, PhD students, physician-scientists, and bioinformaticians. The postdoctoral fellow will work in an NIH-funded laboratory and will
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enrolled in a PhD program in these fields Demonstrated knowledge and experience with power electronics, machine and drives, dynamic load modeling, and power system stability Experience with EMT simulation