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The Ira A. Fulton Schools of Engineering at Arizona State University (ASU) and the School of Electrical, Computer and Energy Engineering seek applicants for a tenure-track or tenured faculty
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The Ira A. Fulton Schools of Engineering at Arizona State University (ASU) and the School of Electrical, Computer and Energy Engineering seek applicants for a tenure-track or tenured faculty
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of interest include, but are not limited to, stochastic, discrete, large-scale, and data-driven optimization, machine learning methods for sequential decision making, or stochastic modeling and prescriptive
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of Electrical, Computer and Energy Engineering, one of the eight Ira A. Fulton Schools of Engineering, houses a vibrant electrical engineering research community (learn more at https
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community (learn more at https://research.engineering.asu.edu/ ). We seek applicants who can enhance our abilities in these areas as part of a community of experts. Particular areas of interest include, but
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develop and teach undergraduate courses in digital/computer forensics. Faculty Associate positions are one-semester, non-benefits-eligible, fixed-term appointments with no tenure implications, not to exceed
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● Statistical and Computational Biology Tools ● Wet Laboratory Experiences ● Advanced Statistics and Machine Learning ● Artificial Intelligence in Life Sciences ● Database Systems and
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positions during the 2025 - 2026 academic year. Faculty Associates are fixed-term, adjunct faculty who are hired on one-semester, renewable contracts to teach one or two (3-credit) courses (not to exceed
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learning technologies. The CNS’s ongoing projects focus on virtual humans and advancing simulation science-based theories and concepts in social and clinical education. Interests in extended reality
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programs at the undergraduate, masters, and PhD level related to Robotics and Autonomous Systems, as well as Manufacturing (learn more at https://research.engineering.asu.edu/ ). We seek applicants who can