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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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Job description: 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
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: Experience in method development, working with spatial data, and GIS Experience with univariate and multivariate analysis and working with large datasets Experience with working independently and organizing
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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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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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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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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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scale in the laboratory, saving time and money. To this end, novel equipment allows testing and the collection of experimental data. To support this goal, we are looking for a colleague who is independent