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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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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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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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-seeking, blood-feeding, and flight patterns of mosquitoes using a combination of laboratory, semi-field, and field approaches. Your work will involve innovative techniques such as 3D flight tracking and
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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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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
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-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 multimodal deep learning
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-robot interfaces, optimal control, and Robot Operating System (ROS). TU Delft (Delft University of Technology) Delft University of Technology is built on strong foundations. As creators of the world
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light/heating modules, and selection and sorting routines. Guided by machine learning, we will perform directed evolution experiments where we optimize the synthetic genome that encodes for a biological