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models for optimized selection of treatment before, and follow-up after EVAR. You will implement and advance multimodal deep learning models combining CT imaging and clinical data, trained on the unique
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psycholinguistics, brain-computer interfaces, robotics, cognitive modeling of language, computational linguistics, educational technologies, computational modeling of evolutionary and adaptive systems, image and
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models, analysing structural properties, and developing innovative algorithms with both theoretical rigor and practical relevance. Where to apply Website https://www.academictransfer.com/en/jobs/354359
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architectures and patterns for space and ground-segment systems. 2) Digital system security engineering Utilising novel model-based frameworks to facilitate the application of emerging system security standards
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We are looking for a postdoctoral researcher with experience in generative AI, multimodal representation learning, and modelling face-to-face dialogues for our NWO-funded project “Grounded Gesture
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, shareholder primacy, land prices, and risk mitigation. This position is part of the Dutch National Growth Fund-funded research project ‘Re-Ge-NL Opens external : Accelerator for the transition to a
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implement cutting-edge AI solutions for real-time, image-guided medical applications, with a focus on advanced robotics. You will work directly with clinical data to design robust, efficient deep learning
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of tickler chains. Wageningen University and Research and its partners are developing detection-based fishing techniques that mitigate the current negative impacts. The Postdoc will focus on advancing novel
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-guided medical applications, with a focus on advanced robotics. You will work directly with clinical data to design robust, efficient deep learning algorithms that maximize the information extracted from
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-up. In the ZonMW-funded AI for EVAR project, we develop multi-modal models for optimized selection of treatment before, and follow-up after EVAR. You will implement and advance multimodal deep learning