351 parallel-and-distributed-computing-phd-"Meta"-"Meta" positions at University of Texas at Dallas
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, distribution systems and all related components. Frequently responsible for the training and supervision of less skilled workers. Work performed in an educational and research environment. This position will be
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requests, compiling records, organizing and maintaining files, posting information, greeting/referring/assisting visitors/clients/staff/others, mail distribution, and photocopying. Minimum Education and
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imaging is also required. However, experience with bioinformatics or computational tools for biology is highly recommended but not required. This position provides an opportunity to lead and run experiments
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news sources for information on prospective and existing donors and trends in business, higher education, and philanthropy. Distribute news alerts as appropriate. Assist in maintaining partnerships with
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, updating department/fund/function codes as needed, reviewing balances, and closing or inactivating unused cost centers. Verify payroll distribution reports for monthly employees; communicate discrepancies
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tracking, travel coordination, event planning, and procurement assistance. Additionally, the position supports the Marketing PhD program by assisting with student travel, recordkeeping, and job market
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experience is required. A PhD and seven or more years of relevant industry work experience is preferred. Other Qualifications To the extent this position requires the holder to research, work on, or have
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, distribution systems and all related components. Frequently responsible for the training and supervision of less skilled workers. Work performed in an educational and research environment. This position will be
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degree in computer science, Management Information Systems, or a closely related field and At least four (4) experience years performing duties similar to those described above & using specific technical
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. Minimum Education and Experience Ph.D in a related field. Preferred Education and Experience Preferred Education and Experience PhD in biomedical engineering, pharmacology, neuroscience, physiology