433 machine-learning-"https:"-"https:"-"https:"-"https:"-"Bournemouth-University" positions at Virginia Tech
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. This appointment is 30% research, 50% teaching, and 20% Extension. In addition, the successful candidate will contribute to ALCE as a team member in transforming lives through learning, discovery, and engagement
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Job Description The successful candidate will work collaboratively with the classroom teacher in curriculum planning and implementation; documentation of learning experiences with the classroom
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for construction operations. The successful candidate will contribute to cutting-edge research in mixed reality (MR)-based simulation platforms, machine learning-based process optimization, and human-machine
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demonstrating a solid understanding of academic office operations Familiarity with Banner or similar administrative systems is highly desirable. Experience with or willingness to learn basic web page creation and
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, gender identity, gender expression, genetic information, ethnicity or national origin, political affiliation, race, religion, sexual orientation, or military status, or otherwise discriminate against
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for the benefit of our students, staff, and faculty across the college, and the communities around the world we aim to serve, hence the University’s motto: Ut Prosim. The School of Architecture emphasizes learning
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programs in Construction Engineering and Management (ABET-accredited) and Building Construction (ACCE-accredited). The successful candidate will be required to teach 3-4 courses per semester in the School
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an academic year (9-month) position with an initial contract for three years with the opportunity for renewal. Responsibilities include: • Teach undergraduate studio, lab, and/or lecture courses
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models and machine learning techniques for kinetic equations arising from plasma and neutron transport. The position will be based at Virginia Tech’s campus in Blacksburg, VA. The postdoc will have a
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Job Description The Virginia Tech Institute for Advanced Computing (IAC), in partnership with the Departments of Computer Science (CS) and Electrical and Computer Engineering (ECE), invites