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. Support the use of digital media and provide technical support for computer-based multimedia systems and their components. Program simulator software with clinical scenario parameters. Ensure appropriate
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Location: Central Cambridge Title: Can we inhibit rectal sensation to treat bowel urgency? Applications are invited for a 3-year PhD studentship based at the Department of Pharmacology, University
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, Matanuska-Susitna College, Prince William Sound College, and Prince William Sound College - Cordova Extension) Online: https://www.uaa.alaska.edu/students/safety . Request a paper copy in person: UAA Police
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, Community and Technical College, Kasitsna Bay Campus, Seward Marine Center, Tok Campus, Kuskokwim Campus, and Northwest Campus) Online: https://www.uaf.edu/orca/files/ASFSR.pdf . Request a paper copy in
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Technical College, Kasitsna Bay Campus, Seward Marine Center, Tok Campus, Kuskokwim Campus, and Northwest Campus) Online: https://www.uaf.edu/orca/files/ASFSR.pdf . Request a paper copy in person: UAF Office
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Instructions for more details. For full consideration, all applicants are required to provide a copy of their Fall 2026 Weekly Course Schedule, as part of their resume or cover letter. Announcement Details Open
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transcripts are required upon hire. An unofficial copy of the degree/transcript is acceptable during the application process and must be attached to the online application. If unable to attach the documentation
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fellowship. Please provide three letters of reference with your application. Please visit the following website to apply for this position: https://utah.peopleadmin.com/postings/188607 Inquiries may be sent
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line / Scientific-technical services: Natural Language Processing Grant/funding period: START: 01/09/2024 END: 31/08/2027 Centre of Principal Researcher: CITIC - Research Center on Information and
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 27 days ago
of numerical simulations and digital twins. By using advanced machine learning methods, such as Physics-Informed Neural Networks (PINNs) and Variational Physics-Informed Neural Networks (vPINNs), the project