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at a given time. Part-time faculty serve in a remote capacity at the University. This position is for the designated college and will report to the Faculty Manager. Part-time faculty teach courses
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for Instructor specifically to teach electrical and computer engineering sequences, as well as a range of ECE engineering courses in both lecture and laboratory formats. Conditions of Employment Pre-employment
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, experiential teaching and other learning objectives: (4) Experiential learning and stakeholder support; and (5) Design and implementation of recruitment strategies for the academic programs, working with
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qualifications include a PhD in plant biology, biochemistry, physiology or a related field; prior postdoctoral experience; and experience with applicable laboratory methods as outlined in the description CV
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undergraduate engineering systems and core engineering courses. Qualifications The candidate will have a PhD in Electrical Engineering, Computer Engineering, or Mechanical Engineering at the time of appointment
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the design, deployment and evaluation of advanced analytics, machine learning, and related generative AI capabilities that enhance clinical and operational decision-making, population health management
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infrastructure systems, infrastructure applications of AI or machine learning, transportation infrastructure systems or safety. The successful candidate is expected to collaborate with the Western Transportation
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variety of teaching methods and assessments that support student learning. Delivers relevant course content on campus or online, as assigned. Maintains that students achieve and demonstrate mastery
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experience with energy, mineral resources, and/or environmental industries. Preference will be given to candidates who can teach translation skills in these sectors and establish connections with potential
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vehicle validation. Design and implement machine learning models that capture the complexity and variability of real-world traffic situations, including unusual pedestrian behaviors, edge cases, and multi