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Vacancies PhD position on Memristive Smart Materials for Information Processing Key takeaways This position is part of the NWO KIC Smart Materials project, Smart Materials for Information Processing
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Vacancies Postdoc position on Data enhanced physical reduced order Models Key takeaways The position is embedded into a large-scale effort between academic groups in the Netherlands and industrial
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spatial processes; there is considerable potential for further integrating Earth observation data and other spatial data sources into such models. Modelling multiscale interactions with ecological processes
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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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predict the occurrence of clinical adverse events like delirium, cardiac arrhythmias and pneumonia among elderly after hip fracture surgery. To obtain relevant data for the above described technology
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contribute to the development and implementation of cutting-edge AI solutions for real-time image-guided medical applications. You will work hands-on with clinical data and build robust deep learning
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cutting-edge multimodal deep learning models that integrate imaging and clinical data to personalize treatment and follow-up strategies. In the Netherlands, around 75% of patients with an abdominal aortic
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, Cascais, Riga, Vilnius, Melsungen, Ciampino, Urla and Rhodes. The PhD project will involve: The use of data analytics (statistical models, machine learning, uncertainty quantification) to monitor and
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in this kind of environment will result in models too large to be handled and too instable to be solved. Data-driven approaches need to be used in addition to enrich the physics-based models
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, international research community within the HBE section of BMS. Information and application Are you interested in joining our team? Please submit your application by the 30th of September, 2025, and include: A