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Are you passionate about applying quantum computing to addressing real-world challenges? Join us to develop quantum optimization methods that support the transition to sustainable and resilient
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trial focused on optimizing mammography interpretation with AI assistance. In this project, we will perform a prospective trial at the Dutch Breast Cancer Screening Program to determine the impact on
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We are looking for a Postdoc who is eager to contribute to a prospective breast cancer screening trial focused on optimizing mammography interpretation with AI assistance. In this project, we will
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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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/). Researchers at GRIP aim to understand the molecular basis of disease, develop innovative therapeutic strategies, and optimize drug delivery to improve human health. Our teams combine expertise in nanomedicine
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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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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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profitability. Examples include optimizing production speeds to balance output, equipment deterioration, and energy consumption in manufacturing, or designing dynamic pricing and allocation policies in rental
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cancer, in a single location in Utrecht. Our institute aims to provide the highest level of care for all children with cancer, with optimal quality of life. The center brings together the best possible
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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