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screening performance when optimizing the radiologist’s interpretation. This trial will involve two rounds of screening for 84,000 women and will leverage new knowledge that has been generated in a prior
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perform a prospective trial at the Dutch Breast Cancer Screening Program to determine the impact on screening performance when optimizing the radiologist’s interpretation. This trial will involve two
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conversation when they can not only hear but also see the speaker. The project is part of an international consortium of Radboud University, Amsterdam UMC, University of Massachusetts Amherst (USA) and the
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more difficulty listening to natural conversation when they can not only hear but also see the speaker. The project is part of an international consortium of Radboud University, Amsterdam UMC, University
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for Cognition, the Behavioural Science Institute, and Radboud Social Cultural Research. Radboud University At Radboud University, we aim to make an impact through our work. We achieve this by conducting
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infections. As a post-doctoral researcher, you will work at the intersection of data science, epidemiology, and clinical research, developing innovative methods to optimize the use of rich real-world data. You
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, you will work at the intersection of data science, epidemiology, and clinical research, developing innovative methods to optimize the use of rich real-world data. You will be part of a collaborative
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strategies (e.g. predictive or machine learning approaches) to improve performance and reduce costs. Collaborating with industrial partners on design optimization, life-cycle analysis, and business case
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take a leading role in the modeling and validation of this innovative system. Your main tasks include: Developing thermal models of convective heat transfer in ventilated cavities and their coupling
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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