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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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anharmonic DFT calculations of PAHs available in the team You will implement neural networks based on PAH molecular structure to predict their anharmonic spectrum You will test the accuracy of topological
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anharmonic DFT calculations of PAHs available in the team You will implement neural networks based on PAH molecular structure to predict their anharmonic spectrum You will test the accuracy of topological
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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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, rental platforms, and production systems—where decision-making must balance conflicting objectives, leverage real-time data, and ultimately support sustainable profitability. Examples include optimizing
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in Kenya. The insights gained from your research will contribute directly to optimizing the deployment of spatial repellents to reduce malaria transmission. You will be part of a diverse and
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life-long follow-up. In the ZonMW-funded AI for EVAR project, we develop multi-modal models for optimized selection of treatment before, and follow-up after EVAR. You will implement and advance
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developing morphing surfaces enabled by Shape Memory Alloys (SMAs). These adaptive winglets are designed to optimize aerodynamic performance by responding to temperature variations and incorporating active