33 cloud-computing-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"St" positions at Lehigh University in United States
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research constituencies, including other multidisciplinary institutes such as the Institute for Cyber Physical Infrastructure and Energy (I-CPIE), the Institute for Data Intelligent Systems and Computation
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Apply now Job no:503761 Work type:Exempt Staff Full-time Location:Bethlehem Categories:Postdoc The Schultz Lab is seeking highly motivated PhD-level scientists to lead computational or hybrid wet
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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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, the distribution of specific program and event ID cards. • Distributes academic building and room keys to vendors, faculty, staff and students with proper ID and authorization; keeps ample supply on hand for
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Executive Director of Auxiliary Services for Housing, Dining and Conference Services with evaluation, assessment, and analysis of the residential dining program on campus by accompanying students to various
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lead strategic projects that enhance program visibility, drive pipeline growth, and improve competitive positioning. • Deliver high-level presentations, webinars, and information sessions to diverse
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access solutions. • Identify and attend conferences relevant to DAR's technology portfolio and the development and alumni relations industry. Qualifications: • Bachelor's Degree in Computer
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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
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work experience • Solid computer skills • Good decision-making skills • Excellent presentation skills • Good communication and interpersonal skills At Lehigh University, we pride ourselves on being a top
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fundraising initiatives aligned with athletics priorities • Establish and monitor key performance metrics to assess program effectiveness • Optimize engagement activities to maximize philanthropic impact across