731 computer-programmer-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" positions at Indiana University
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Position Summary The Department of New Media, Art, & Technology (NMAT) at Indiana University Kokomo invites interested and qualified applications to the adjunct instructor pool. Information about the program
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evaluating applications as they are received and applications will continue to be reviewed until positions are filled. About the School and Department: The Indiana University School of Medicine https
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“Best Airport in North America” by Airports Council International for many years. For additional information on life in Indy: https://faculty.medicine.iu.edu/relocation Basic Qualifications Terminal
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will teach four courses, advise students, and serve as interim director of the joint MJ/BS in Informatics. IU-McKinney is committed to being a welcoming community that reflects and enacts the values
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Center can be found at https://csennd.iu.edu . The project will focus on developing and applying high-throughput methods for the synthesis and in-depth characterization of complex nanocrystals, with
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include teaching six courses over the first two years, with at least one course each term, and then four courses a year regularly, maintaining a strong research program, publishing the results of research
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Statement (5-page limit) outlining achievements and goals in teaching, research, and service e.g. https://academicaffairs.indianapolis.iu.edu/Faculty-Affairs/PromotionTenure/guidelines-and-standards Contact
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Korea Foundation Professor of Modern Korean Studies and Director of the Institute for Korean Studies
guaranteed full consideration. Interested candidates should review the application requirements and submit their materials via the PeopleAdmin applicant portal at: https://indiana.peopleadmin.com/postings
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should review the application requirements and submit an application at https://indiana.peopleadmin.com/postings/30455. Applications received before September 26, 2025 will be assured of consideration
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overseeing research projects focused on methods development for understanding genetic variation within and between populations, (2) building computational pipelines for conducting simulation experiments and