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/electronic/computer engineering or electrical/electronics/computer engineering technology or related engineering field or Associate's degree and demonstrated competencies in the teaching discipline Preferred
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and thus are strongly encouraged to apply. Detailed Position Information The Department of Electrical and Computer Engineering (ECE: https://ece.eng.ua.edu/ ) and the College of Engineering (CoE: https
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in solid mechanics framework Experience in non-linear solid material response and fracture modeling Experience in machine-learning modeling for solid mechanics applications Experience in
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Engineering (ME: https://me.eng.ua.edu/ ) and the College of Engineering (CoE: https://eng.ua.edu/ ) at The University of Alabama (UA: https://ua.edu/ ) invite applications for tenure-track and tenured faculty
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, vendor, or military; or Possesses an earned bachelor’s degree, from a regionally accredited institution, in logistics, supply chain management, manufacturing, industrial engineering, operations management
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team players and passionate on cutting edge computer vision and machine learning technologies, as well as possess deep understanding of machine learning technology and experience on turning machine
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RESPONSIBILITIES: Facilitate student learning by delivering assigned classes in accordance with College policy and course objectives. Make optimal use of available technology to enhance instructional methods
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, technical depth, and a strong track record of applied research in Computational Biology, Structural Biology, Protein Engineering, Machine Learning, or a closely related field. Strong understanding and
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, and/or hybrid courses. Ensure support and knowledge materials are consistent with sound instructional design principles and standards. Work closely with service owners for learning technology, systems
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Engineering (CCEE: https://cce.eng.ua.edu/ ) and the College of Engineering (CoE: https://eng.ua.edu/ ) at The University of Alabama (UA: https://ua.edu/ ) invite applications for multiple tenure-track and