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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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networks are built on the same geometric foundation, namely Euclidean geometry. This choice however leads to fundamental limitations that cannot be overcome with bigger models and larger datasets. A critical
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. However, while the leaky integrate-and-fire (LIF) neuron is the current de-facto neuron model in neuromorphic hardware, it embeds only one single time constant limited to a few tens of milliseconds
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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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-making methods to find effective and efficient integrated planning solutions based on existing tools at Netherlands Railways and newly developed optimization models. Simulation studies will be applied
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cell-derived tissue models for corneal regeneration through state-of-the-art (single-cell) multi-omics analysis. You will collaborate with other doctoral candidates in STEM-CORE through joint projects
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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 description We are seeking a highly motivated PhD candidate to join our research group in the field of piezoelectric microsystems. The successful candidate will work on the design, modelling
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from a wide-range of disciplines in future climate model development, paleo-climate data collection, and applied mathematics. Your qualities The project requires the development of both numerical skills