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further latency. Crucially, current MRI systems lack any form of predictive intelligence that could inform optimal configuration ahead of, or during scanning. The Computer Engineering (CE) section
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institution. The Center for Interdisciplinary Digital Sciences (CIDS) and the Center for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI Dresden) offer a position as Research Associate / PhD
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This PhD position is a unique opportunity to join the
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) Positions PhD Positions Country Spain Application Deadline 25 Nov 2025 - 23:00 (Europe/Madrid) Type of Contract Permanent Job Status Full-time Hours Per Week 37,5 Offer Starting Date 1 Feb 2026 Is the job
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Application Deadline 15 Dec 2025 - 23:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 1 Feb 2026 Is the job funded through the EU Research Framework Programme
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University of Berlin, Germany, lasting a total of six months, is an integral part of the PhD program. LanguagesENGLISHLevelGood Additional Information Benefits - A comprehensive, interactive and international
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. The Center for Interdisciplinary Digital Sciences (CIDS) and the Center for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI Dresden) offer a position as Research Associate / PhD Student (m/f/x
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into the School of Music’s PhD programme. Applications are invited in the following area: Digital (Ethno)musicologyunder the supervision of Dr. Abigail C. Lindo (abigail.lindo@ucd.ie ). Start date: September 2026
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EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are seeking a highly motivated and talented PhD candidate to join the “SmartNudges” project
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challenges moving forward. Where to apply Website https://www.academictransfer.com/en/jobs/357035/phd-position-automation-ai-for-… Requirements Specific Requirements You have a Master’s degree in a relevant