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Today, companies across a wide range of industries face the challenge of managing increasingly complex stochastic systems, where uncertainty is inherent and data is abundant. These systems arise in
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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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techniques to enhance MT use, thus improving the translator's working environment and job sustainability, as well as the user experience. To better understand this complex process, INCREC triangulates data
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23 Aug 2025 Job Information Organisation/Company University of Twente (UT) Research Field Computer science » Programming Researcher Profile Recognised Researcher (R2) Country Netherlands Application
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26 Aug 2025 Job Information Organisation/Company University of Twente (UT) Research Field Computer science » Informatics Computer science » Programming Engineering » Biomedical engineering
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2 Sep 2025 Job Information Organisation/Company University of Amsterdam (UvA) Research Field Physics » Applied physics Physics » Statistical physics Researcher Profile Recognised Researcher (R2
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interpretation is subjective, heavily relying on clinician expertise. This project funded by the Hanarth fund combines ultrasound imaging with histopathology data to train advanced AI models for automatic tumor
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work hands-on with clinical data and build robust deep learning algorithms. We welcome applications from individuals with experience in: Experience developing deep learning models for real-time image
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3 Sep 2025 Job Information Organisation/Company University of Amsterdam (UvA) Research Field Environmental science » Water science Geography » Human geography Geography » Social geography Researcher