58 assistant-professor-computer-science-data-"https:"-"https:"-"https:"-"https:" positions at Lehigh University
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AI, and their applications to various science and engineering disciplines. These positions are intended for new or recent Ph.D. in applied/computational mathematics, mechanical engineering, or
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science and engineering disciplines. This position is intended for new or recent Ph.D. in applied/computational mathematics, computational science, chemical engineering, or related disciplines. Ideal
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or GED required • Three to five years of related work experience (less experienced applicants may be considered if accompanied by higher, relevant education) • Strong computer skills with experience using
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information access solutions in response to changes in industry, University, and team processes, standards, and objectives. • Assist and advise DAR and other University constituents on the best practices
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SEO and emerging search technologies, as directed. • Help identify content updates or improvements to enhance usability and clarity. • Compile data and assist in preparing reports to support evaluation
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technology needs. • Utilize Microsoft Excel and University database systems to extract, analyze, and manipulate data for program planning and reporting. • Collaborate with Development and Alumni Relations
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computer systems • Monitors instrument usage • Trains Students, Post-Doctoral Associates, Faculty, and sometimes outside users on proper instrument usage • Informs instrument users of policies as needed
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• Five to eight years’ experience required (Three to five years’ experience may be considered if accompanied by the preferred education level) • Excellent computer skills with experience using word
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university's distinguished athletic legacy. As Head Coach, you'll provide dynamic leadership across all program facets, directly advancing Lehigh University's mission and Athletic Department goals. You'll mentor
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of Applied/Computational Mathematics. Research topics of interest include numerical methods for scientific machine learning and AI, and their applications to various science and engineering disciplines