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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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computational and experimental techniques in a high-tech industrial-academic setting. Develop constitutive material models tailored to recycled aluminum sheet forming, and implement them within commercial FE
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prospective breast cancer screening 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
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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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effective for designing and optimizing applications for reconfigurable/spatial computing architectures (HW/SW co-design)- Extend or build simulation or modeling frameworks to support systematic exploration
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Vacancies EngD Position: Simulation-Guided Downgauging and Process Optimization of Recycled-Content Aluminum Trays (EcoTray) Key takeaways The focus lies on advancing the digital and experimental
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to this challenge is to leverage assets such as grid-level battery storage, and electrolyzers to have more flexibility when making trading decisions. The challenge then is how to optimally leverage such an asset
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The focus lies on advancing the digital and experimental design of
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, Industrial Engineering, or related discipline; Affinity and/or experience with computer programming, statistical learning, and optimization techniques; A good team spirit and feel at home at the intersection
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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