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Field
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Why apply? Do you want to shape the future of trustworthy AI and work at the intersection of foundation models, multimodal data, and explainability? This PhD project offers you the chance to develop
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Apply now Why apply? Do you want to shape the future of trustworthy AI and work at the intersection of foundation models, multimodal data, and explainability? This PhD project offers you the chance
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events, will be used to enhance the diagnostic and predictive capabilities of the safety level for the individual lift. Combining data-driven probabilistic risk assessment models and inspection planning
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this PhD project with biomarker data and outcome data, the consortium aims to develop a robust model that can better predict transplantation outcomes. This innovative approach will contribute to more
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with NXP and ASTRON) on active focal-plane arrays that provide a (relative) wide scan range, we want to explore hybrid antenna concepts for radar. TU/e has developed the dedicated mathematical models and
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geometry can be reconstructed mathematically (this is called inverse scattering). This requires both sophisticated mathematical models and efficiently implemented algorithms. In the case of wafer metrology
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Job related to staff position within a Research Infrastructure? No Offer Description Why apply? Do you want to shape the future of trustworthy AI and work at the intersection of foundation models
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the laser heat flux on tape and substrate. Couple the two models and validate the result on an industrially relevant part. We are looking for a colleague who has a very strong background in mathematical
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expertise in the field of prediction modeling, longitudinal data analysis, statistics, data science, machine learning, AI, organoid models and cystic fibrosis. The supervisory team will consist of dr. Maarten
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oriented towards the development of a domain-specific design automation framework for cryptographic hardware. Your work will focus on identifying the mathematical knowledge and properties to guide hardware