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barriers: a large input modality gap, as network data consists of diverse, non-textual formats like time-series metrics, graphs, and scalar values; the inefficiency and unreliability of answer generation
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), machine learning (ML), deep learning (DL) and Data science methods for medical image analysis, to autonomously grade the fundus images from large datasets. This will be supported by Professor Neil Vaughan
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4 Dec 2025 Job Information Organisation/Company Grenoble INP - Institute of Engineering Department Engineering Research Field Engineering Researcher Profile First Stage Researcher (R1) Positions PhD
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you will have access to the supercomputing facility at Umeå University, and to unique large-scale data infrastructure (www.umu.se/en/research/infrastructure/umea-simsam-lab/ ) covering the whole Swedish
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6 Dec 2025 Job Information Organisation/Company Uppsala universitet Department Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences
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At the University of Vienna almost 11,000 personalities work together towards answering the big questions of the future. Around 7,700 of them do research and teaching, around 3,000 work in
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such goals via large-scale experiments or via simulation modelling? Then we have 2 PhD positions available, within the Dutch-Danish project Robotic Intercropping , within the focus areas ‘Agro-ecological
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9 Dec 2025 Job Information Organisation/Company Sveriges Lantbruksuniversitet Research Field Biological sciences Researcher Profile First Stage Researcher (R1) Country Sweden Application Deadline 10
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research group aims to use this large amount of multimodal data from both cameras and surgical devices to develop an artificial intelligence system that can assist clinicians and staff in the surgical
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propagate through bacterial communities while deactivating AMR genes. However, current designs are limited by scalability and complexity. This project aims to overcome these limitations by integrating large