401 parallel-and-distributed-computing-phd-"Meta"-"Meta" positions at University of Houston Central Campus
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professional discipline. Knowledge of the discipline is normally obtained through a formal, directly job-related 4 year degree from a college or university or an equivalent in-depth specialized training program
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., Outlook including substantial calendaring • Experience using CRMs & being Bilingual (Spanish) are a plus. Additional duties are assigned with this position to assist with program execution. An example is
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. Knowledge of the discipline is normally obtained through a formal, directly job-related 4 year degree from a college or university or an equivalent in-depth specialized training program that is directly
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formal, directly job-related 4 year degree from a college or university or an equivalent in-depth specialized training program that is directly related to the type of work being performed. Experience
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Department: UH Energy Salary: Description: Provides expertise in support of research projects in engineering, biology, mathematics, statistics, computer science, physics, etc. Prepares and edits
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may be required periodically. The SBDC program is funded through a cooperative agreement with the U. S. Small Business Administration (SBA) and the State of Texas. The continuation of all SBDC positions
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/or completion of a federally certified plumber apprentice program. Experience: Requires a minimum of one (1) year of directly job-related experience. Certification/Licensing: May require working toward
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candidates should submit: 1) a CV; 2) the names of three references; and 3) a cover letter. Required qualifications: • PhD or equivalent in Clinical Psychology • Completion of an APA-accredited internship and
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proficient with using a computer and Microsoft office suite. Must pass a Criminal History and valid TX Driver’s License check prior to an interview. Must pass Background Investigation prior to employment. Must
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and sets up experiments in hybrid research environment. 2. Researches artificial intelligence/machine learning algorithms, database design, deep learning, big data, and cloud computing. 3. Publishes