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Field
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challenge. This project will explore how reconfigurable computing devices can be integrated into large-scale heterogeneous infrastructures, which include CPUs, GPUs, DPUs, and others. The research will focus
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The availability of remote monitoring and big data opens up new opportunities to innovate traditional safety assessment and certification methods, which rely on visual inspections and reactive approaches. Future
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Are you interested in cutting-edge research at the intersection of large language models, deep learning, and information retrieval? The Information Retrieval Lab (IRLab) at the University
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The PhD position is part the prestigious POLARIS (Pathway towards Opportunities for Large scale Applications of Radically Integrated Systems) project. Polaris is a large flagship program (funded by
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of research); has experience with large-scale, complex data sets and advanced statistical methods; enjoys doing research and reporting the results in scientific articles; want to share scientific knowledge with
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electrocardiograms (ECGs) and computed tomography (CT) data from a very large (> 20,000 ICU admissions) high-quality ICU data set. work with a large cardiovascular ICU database, containing over 20,000 ECGs and CT
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microscopy methods such as light-sheet fluorescence microscopy (LFSM) and the experience in computational data science to handle the resulting large 3D datasets. We are looking for an enthusiastic and creative
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involves complex information systems at large, with a focus on collaborative, data driven, computational, and intelligent systems, all with a strong interactive component. The Digital Interactions Lab
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analyses using your own data and large public data resources and integrate your findings with clinical data (symptoms, EEG, etc). Finally, you will contribute to other activities of the STXBP1 team
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large pan-European research initiative that brings together researchers, clinicians, and patient communities. Your project focuses on analyzing multi-omics sequencing data from thousands of patients with