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) to develop computational models for electric breakdown of gases Job description Electric gas discharges occur in nature, most prominently in air in the form of lightning and its less visible precursors
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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 aneurysm (AAA
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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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to localize anomalous sounds, related to faults, in a complex acoustic environment, characterized by moving sound sources and reverberations. Purely relying on physical models describing the acoustics
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, aiming to transform the care for patients with abdominal aortic aneurysms (AAA). You will develop and validate cutting-edge multimodal deep learning models that integrate imaging and clinical data
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through the Internet of Things create new opportunities to incorporate real-time insights into decision-making, combining tractable modelling with provably efficient solution methods. As a postdoctoral
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motivated individual with the following competencies and skills: Proficiency in electrical design, multi-model sensor technology, and experimental analysis. Strong communication skills and a genuine interest
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availability of data and connectivity through the Internet of Things create new opportunities to incorporate real-time insights into decision-making, combining tractable modelling with provably efficient
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and career development. Our individual choices model gives you some freedom to assemble your own set of terms and conditions. Diversity Diversity and inclusion are core values of Leiden University
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handling platform and hanging droplet evaporator to process single cells, exosome samples and other biomass restricted samples for high resolution mass spectrometric analysis. As a Research Engineer, you