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) developing and optimizing fMRI pulse sequences; 3) developing and applying computational methods and machine learning approaches to characterize individual differences in brain representations; 4) contributing
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The PERLE Project, carried out by CNRS, aims to construct a high-power
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Framework Programme? Not funded by a EU programme Reference Number PLB/04/2026 Is the Job related to staff position within a Research Infrastructure? No Offer Description Post-doc (f/m/x) Ref Number: PLB/04
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adaptive systems that jointly optimize morphology and control for real-world physical interaction. Requirements Ph.D. in Computer Science or a related discipline. Strong background in Machine Learning
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) Application Deadline 12 Apr 2026 - 00:00 (UTC) Country Morocco Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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Application Deadline 6 Apr 2026 - 10:51 (Europe/Madrid) Country Spain Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Jan 2026 Is the job funded through the EU Research Framework Programme
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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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-accredited internship program; and completion of a postdoctoral fellowship in pediatric psychology. Must have prior experience in a pediatric health/medical psychology setting serving children and adolescents
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that support program optimization, supplier discussions, and decision-making within University Procurement Services. Supports implementation, administration, and continuous improvement of university expense
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Job description: At the University of Vienna, over 10,000 people