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                intramolecular analyses of complex organic compounds. Experience with the application of computational chemistry methods to problems in isotope geochemistry. Familiarity with custom instrumentation design and 
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                We are seeking a motivated and dedicated Ph.D. Candidate for a Research Assistantship within the Pediatric Pulmonology Global Program to service as a Global Research Assistant . This role will 
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                Visiting Research Assistant Professor Bioengineering - Pennsylvania-Pittsburgh - (25005391) The 7 Tesla Bioengineering Research Program (7TBRP) in the Department of Bioengineering at the University 
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                information at BNL | Benefits Program Position Description The AI Department within Brookhaven National Laboratory's Computing and Data Sciences Directorate invites exceptional candidates to apply 
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                . Requirements: Minimum: Ph.D. in Mechanical Engineering, Materials Science, Computer Science, or related field; expertise in additive manufacturing, materials design, or AI/ML; strong publication record 
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                technology and innovation. Home to the Wall of Wind and Institute of Environment, FIU stands at the forefront of discovery and innovation. With a focus on student success, economic mobility and community 
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                with an interdisciplinary team of researchers from various disciplines, such as agricultural engineering, mechanical engineering, agronomy, computer science, and soil science. The ideal candidates should 
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                comprehensive agriculture program, Texas A&M AgriLife brings together a college and four state agencies focused on agriculture and life sciences within The Texas A&M University System. With over 5,000 employees 
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                engineering, computer engineering, computer science, aerospace engineering or a closely related field from an accredited institution by the date of appointment. Record of publications in related top-tier 
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                ; transcript; condensed transcript; written list of classes in economics, mathematics, statistics or computer science (including course name, date taken, school, and main textbook(s) used in the course); courses