2,784 data "https:" "https:" "https:" "https:" "Inter University Center for Japanese Language Studies" Postdoctoral positions in United States
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FAQ's please refer to our NYUAD Kawader webpage: https://nyuad.nyu.edu/en/about/careers/postdoctoral-and-research/kawader-research-assistantship-program.html For further information or questions regarding
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. Applicants should upload: -a cover letter -statement of research -teaching background, interests, and philosophy -curriculum vitae -contact information for three references as part of the application process
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in-person on campus at Princeton University. Applicants must apply online at https://puwebp.princeton.edu/AcadHire/position/40541 and submit a CV, cover letter, and contact information for three
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addressed to Search Committee Chair Dr. Yu Zhang at yu.zhang@uta.edu . For more information about UTA, please visit: http://www.uta.edu/uta .
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information on MetaCIH can be learned here (https://metacih.metapsy.dev/ ) and on NIHReporter . Responsibilities of the postdoctoral fellow include: (a) oversee data extraction, data management, and data
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dependent educational benefits Life insurance coverage Employee discounts programs For detailed information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits/benefits-overview
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well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information. All qualified applicants are encouraged to apply and will receive consideration for employment without regard
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largest park in the US (Forest Park). We offer a competitive salary and benefits consistent with NIH guidelines. Job Description Primary Duties & Responsibilities: Information on being a postdoc at WashU in
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. The appointment will initially be for one year, with the possibility of extension for up to an additional two years. More information about the group and the IU Physics Department can be found at: https
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states, charge density waves, superconductivity, and quantum magnetism - Kagome materials and superconducting hydrides - Machine learning interatomic potentials (MLIPs) and data-driven atomistic