50 computer-programmer-"https:"-"FEMTO-ST"-"U" "https:" "https:" "https:" "https:" "https:" "Dr" "UCL" Fellowship positions at Indiana University
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at https://indiana.peopleadmin.com/postings/31795 . Applicants must have a Ph.D. in Physics. Questions regarding the position or application process can be directed to Prof. Herb Fertig (hfertig@iu.edu
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or interest in the use of artificial intelligence, machine learning, or computational tools in behavioral and experimental economics is appreciated. Strong emphasis will be placed on demonstrated research
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mentorship from faculty investigators toward the development of an independent program of research. Opportunities to become involved with other areas of work will arise during the position, including support
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date you are available to start, and 2) a C.V. or resume, and 3) the contact information for two references. This can be submitted to the following link. https://indiana.peopleadmin.com/postings/31041
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with a benefits package will be offered. Interested candidates should submit a cover letter, CV, and contact information for three references to http://indiana.peopleadmin.com/postings/3 0824
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with a benefits package will be offered. Interested candidates should submit a cover letter, CV, and contact information for three references to http://indiana.peopleadmin.com/postings/3 0824
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of Biostatistics and Health Data Science at Indiana University School of Medicine, in close collaboration with the Regenstrief Institute, a nationally renowned center for health informatics research and real-world
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information for three references to http://indiana.peopleadmin.com/postings/31832 . Applications will be reviewed upon receipt. For Best Consideration Date 02/09/2026 Expected Start Date 04/01/2026 Posting
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review the application requirements and submit their application at https://indiana.peopleadmin.com/postings/30783 . Basic Qualifications PhD or equivalent terminal degree in exercise science, kinesiology
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photoreceptors in marine Synechococcus using CRISPR and protein biochemistry approaches. This project is funded by the NSF Systems and Synthetic Biology Program and builds on our successful initial studies of Type