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Field
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PhD candidates to work on topics in Generative Information Retrieval (GenIR), a new and rapidly evolving retrieval paradigm where generative models are used to directly generate document identifiers
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on the development, optimization, and clinical evaluation of new x-ray-based imaging methods. The lab focuses on the use of medical physics approaches to improve image acquisition methods and processing algorithms
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an additional planning instrument? Are you excited to unlock the enormous potential of generative AI for urban planning? What will you do? In this PhD you will lead the research and prototyping that brings AI
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Welcome to Maastricht University! The Computational Brain Connectivity lab (CBClab) at Maastricht University is looking for a PhD to investigate Human Cortical Angioarchitecture with 3D Histology
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Your job Are you fascinated by using mathematics to solve fundamental questions in ecology? Do you thrive on translating abstract models into biological insight? If so, this PhD opportunity could be
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We are seeking a highly motivated PhD candidate to join our research team in the field of mixed-signal IC design, focusing on the implementation of sense to compute paradigm. The ideal candidate
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works closely with breast screening radiologists and industry to develop new and improve existing methods and processes in screening breast imaging. Our direct connection with the Dutch Expert Centre
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contributing to new research methods in human-AI collaboration? Then we are looking for you! We are hiring a technically strong, creative, and socially motivated PhD candidate to join the international
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maintain robustness through evolution using live-cell imaging and multiscale modelling. Job description Cells are often described as intricate machines where proteins work together in a tightly coordinated
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(GenIR), a new and rapidly evolving retrieval paradigm where generative models are used to directly generate document identifiers given a user query. This paradigm departs from traditional multi-stage