98 computer-science-programming-languages-"the"-"UCL"-"O.P"-"U" "U.S" Postdoctoral positions
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scholarly work or industry experience in economic and supply chain analysis, computational modeling, or policy analysis. Excellent oral and written communication skills in scientific and engineering contexts
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is an 18-month program that fully supports undergraduate students in becoming entry-level software engineers by graduation. In 2023, the U.S. Department of Commerce’s Economic Development
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an ongoing random drug testing program. Applicants cannot have received their PhD more than five years prior to the date of application and must complete all degree requirements before starting
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companies participating in the DOE’s Better Plants program. Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service
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analysis, to work collaboratively with research teams within Pfizer, and to publish in high-impact journals. By the end of the program, the Postdoc will be proficient in NGS technologies and nucleic acid
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wide range of disciplines. Learn more about UNLV's postdoctoral scholars. MINIMUM QUALIFICATIONS This position requires a PhD Degree in Computer Science, Electrical Engineering, Environmental Engineering
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means of communication for program information (e.g., Braille, large print, audiotape, American Sign Language, etc.) should contact the responsible Agency or USDA’s TARGET Center at (202) 720-2600 (voice
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, program information may be made available in languages other than English. To file a program discrimination complaint, complete the USDA Program Discrimination Complaint Form, AD-3027, found online at How
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for program information (e.g., Braille, large print, audiotape, American Sign Language, etc.) should contact the responsible Agency or USDA’s TARGET Center at (202) 720-2600 (voice and TTY) or contact USDA
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computing, and parallel programming paradigms Strong publication record in reputable avenues Strong writing skills Strong skills in model development, data analytics, machine learning, and visualization