202 computer-programmer-"https:"-"Prof" "https:" "https:" "https:" "https:" "U.S" Postdoctoral positions in United States
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for the position, please click the Apply link/button. If you have a disability and need assistance with the hiring process and require reasonable accommodations, please contact the Division's Office of Program
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National Laboratory is committed to employee success and we believe that a comprehensive employee benefits program is an important and meaningful part of the compensation employees receive. Review more
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fulfilling our mission to educate talented engineers who will immediately make an impact on their communities. The College is the most comprehensive engineering program in North Texas, with 12 baccalaureates
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employee purchase program discounts RebelCard discounts on and off campus Wellness programming for all UNLV faculty and staff at no cost Opportunity for career advancements to leadership roles Connect with
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program, and currently has 40+ PhD students. All trainees of PhD graduates are placed into tenure-track faculty, government, and industry positions. Expected Salary: $62,232 annually; commensurate with
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liquids, frustrated magnetism, excitonic magnets, and strongly correlated electron systems. You will work closely with theorists, experimentalists, and computer scientists to build robust, scalable
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describing a Study of Evolutionary Time Series or related analysis. Certificates/Credentials/Licenses None Computer Skills Proficiency in Microsoft Word and Microsoft Excel. Proficiency in R and producing
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Required Certificates/Credentials/Licenses NA Computer Skills General office suite and willingness to learn lab specific programs Supervisory Responsibilities No Required operation of university owned
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Required Qualifications M.D. or PhD Required Certificates/Credentials/Licenses NA Computer Skills General office suite and willingness to learn lab specific programs Supervisory Responsibilities No Required
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the development of AI architecture for holistic genomic photosynthesis modeling. Evaluate performances of AI genomic photosynthesis models. Report advances to program management and broader scientific communities