306 parallel-computing-numerical-methods-"DTU" positions at SUNY University at Buffalo
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Bachelor’s degree with 3 years of experience or master’s degree or professional certification with 1 year of experience Excellent communication skills with vendors, suppliers, and co-workers. Computer literacy
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at the University at Buffalo is seeking an organized individual capable of managing a variety of research projects. The laboratory investigates speech perception using behavioral and electrophysiological methods in
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control. Use computer to document service work performed Assist journey level trades in the removal or installation of electrical/mechanical building control equipment and systems Assist journey level
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online database that will allow the University at Buffalo to request access from applicants to identify drivers who commit drug and alcohol program violations. Additional Information Is a background check
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learn the departmental computer inventory system and Electronic Health Records (EHR). Issue and deliver supplies, equipment, and parts from stock. Take physical inventory and maintain perpetual inventory
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position in the Customer Service branch of its Administrative Services unit. In this role, you will be responsible for supporting and sustaining a world-class customer service program through exceptional
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skilled trades person which could provide training equivalent to that given in a training, apprenticeship, or equivalent program, or an equivalent combination of experience and training gained by completion
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inventory needs. Uses computer to document service work performed. Operates computers used in the field of direct digital controls (D.D.C.). Provides high level of customer service. Expected to perform
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. Preparation of statistical reports for internal and external reporting purposes. Assisting Chair in allocating space and keeping space records. Backup to the Chair as approver for Sponsored Program Approval
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position. The successful candidate will be driving cutting-edge research into textile fiber recycling sorting technologies using spectroscopic and hyperspectral methods coupled to machine learning techniques