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Field
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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 retrieval pipelines and
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their families and face increasing regulatory constraints and societal expectations. This situation is created by institutional, economic and political lock-ins. Regenerative agriculture is a new paradigm
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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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, Diffusion Tensor Imaging (DTI), Ultrasound, muscle stimulation, electromyography (EMG), and motion capture. Conducting human anatomical specimen dissection studies to obtain in-vitro data for model
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develop new design concepts. It’s an open field, with lots of opportunities for a creative researcher, who can keep an eye on the bigger picture. You will be working in close collaboration with the Photonic
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longer sustainable. This project pioneers a new paradigm: we design smart, low-power digital AI co-processors that learn and correct the imperfections of their analog counterparts in real-time. As a PhD
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reference architecture for data visiting. This paradigm enables algorithms to securely access and process data within the environments where it resides, supporting federated learning for training machine
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models. by combining cutting-edge data science with advanced clinical expertise and imaging technologies. Your colleagues: A dynamic, interdisciplinary team of intensivists, clinical technologists, PhD
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Technology are also welcome, particularly if their thesis work involved medical robotics, control systems, or image-guided interventions. Experimental Skills: Experience with experimental research in robotics
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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