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Field
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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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-edge infrastructures, and emerging AI-driven user applications. Key research directions include: Modeling and profiling of emerging AI-based workloads and data-intensive applications in mobile networks
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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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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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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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) with an interest in ecology and evolution Demonstrated experience with mathematical modelling, and an ability to learn new concepts and (computational) methods as needed Affinity with scientific computer
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( phenoconversion ). Within this project we aim to improve our understanding of the impact and mechanisms of phenoconversion in clinical practice. Moreover, we aim to evaluate how advanced in-vitro models, endogenous
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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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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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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