40 machine-learning "https:" "https:" "https:" "https:" positions at The University of Alabama
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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
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metal casting are of particular interest and thus are strongly encouraged to apply. Detailed Position Information The Department of Metallurgical and Materials Engineering (MTE: https://mte.eng.ua.edu
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of solidification science and metal casting are of particular interest and thus are strongly encouraged to apply. Detailed Position Information The Department of Metallurgical and Materials Engineering (MTE: https
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of Mechanical 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
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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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of aerospace engineering and mechanics in the nation. Detailed Position Information The Department of Aerospace Engineering and Mechanics (AEM: https://aem.eng.ua.edu ) and the College of Engineering (CoE
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of legal services for Entrepreneurship Clinic clients, teach and supervise law clinic students, and manage other law clinic staff. This is a year-round (12-month) position with eligibility for security
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Social Responsibility in STEM ● Human-Computer Interaction ● Predictive Analytics and Data Science ● Environmental/Health/Risk/Science Communication Applicants must display an ability to be an active and
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, Impact, and Social Responsibility in STEM ● Human-Computer Interaction ● Predictive Analytics and Data Science ● Environmental/Health/Risk/Science Communication Applicants must display an ability to be
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(AI) and its application across nursing and healthcare environments. The ideal candidate will possess cross-disciplinary fluency in AI technologies—including machine learning, data science, big data