97 machine-learning-"https:"-"https:"-"https:"-"https:" positions at University of Texas at Dallas
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professional service. Successful applicants will be appointed to the Department of Neuroscience, the Department of Psychology, or the Department of Speech, Language, and Hearing. Faculty members teach
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methodologies for sustainable and smart manufacturing, and incorporation of artificial intelligence, machine learning and/or digital twins in materials science research. Outstanding candidates in advanced micro
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with postdoctoral training or equivalent research experience are preferred, especially those who have led or contributed to multidisciplinary teams bridging psychology with computer/data science. We
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, the Department of Psychology, or the Department of Speech, Language, and Hearing. Faculty members teach undergraduate and graduate level courses within their discipline and area of expertise. Joint appointments
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of Neuroscience, the Department of Psychology, or the Department of Speech, Language, and Hearing. Faculty members teach undergraduate and graduate level courses within their discipline and area of expertise. Joint
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of Neuroscience, the Department of Psychology, or the Department of Speech, Language, and Hearing. Faculty members teach undergraduate and graduate level courses within their discipline and area of expertise. Joint
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summarizing their interests and qualifications for the position. · statement of teaching philosophy describing their conceptualizations of teaching and learning, and teaching and assessment methods, and how
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. · Statement of teaching philosophy describing their conceptualizations of teaching and learning, and teaching and assessment methods, and how their teaching practices will engage students from a range of
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and research network providers such as LEARN and Intenet2 Cisco Certified (CCENT OR CCNA) or Juniper Certified (JNCIA-Junos) At least 4 years of Juniper (JunOS) experience including Tier 3 senior level
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that leverages and extends existing University expertise in systems and cognitive neuroscience, neural device development, and machine learning. The ideal candidate would conduct highly collaborative dry lab