211 parallel-and-distributed-computing-"UNIS"-"Meta" positions at Case Western Reserve University
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seamlessly deliver activities on time, meeting enrollment goals. Assess applicants alignment with the program, share and educate candidates about the program, and encourage enrollment with the most qualified
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risks. Partnering with the dean, chief business officer, and senior leadership, identify key financial tools required for business decision support, such as new program and enrollment analysis, tuition
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industry best practices to inform strategy and assess program effectiveness. Close collaboration with senior leadership, faculty, and external partners is essential to integrating these efforts into broader
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identification, epigenetic profiling, RNA expression analysis, and transcriptomics using appropriate computational tools. Perform microbiome analysis using Kraken2, BLAST, biobakery, cBioPortal, UCSC Genome
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of strategic fundraising priorities including, but not limited to the parent giving program. This position will be charged to identify, cultivate, solicit, and steward prospects and donors from the parent giving
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to interact in a sensitive, courteous and understanding manner with all members of the academic community with customer service skills. Good verbal and written communication and computer skills Must be familiar
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, prospective students of program offerings. Solicit student, faculty, and program director involvement. Represent the Weatherhead School of Management at local and national recruitment fairs and events during
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and department mission, vision and values. Basic knowledge of fire, security and access controls system operation. Basic knowledge of computer functions and operations. Proficient and safe use of issued
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Library's liaison to UTech for the purchase, implementation, and support of all technology and digital storage solutions, including administrative, public, and lab computing. Manage a dedicated technology
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medicine research program. The analyst will manage the development and application of advanced machine learning approaches to delineate the health impact of interventions in both experimental and human