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coherence, optical), including cross-modal fusion and modality distillation • Design a causation analysis framework combining deep learning with causal discovery & inference to quantify the influence
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developing advanced data analysis services for (spatial) single-cell omics and multimodal data. The position offers a chance to work across diverse data modalities and to build expertise in integrating omics
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field Strong interest in multiscale neuroscience and translational research Experience with MRI analysis (preferably in rats) Skills in data analysis, programming, and quantitative methods Interest in
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rotor blades? Great! Perhaps you have already carried out modal analysis and have experience in working scientifically. Are you familiar with programming languages such as Python and eager to pursue a
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on an exciting Wellcome-Trust funded project. The research focuses on decoding neural representations across dynamic brain states through advanced computational analysis of large-scale neural recordings. What you
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Research Project“ Transforming Cardiac Research: Visual Exploration and AI Prediction Modeling of Real-Life, Multi-Modal Data” as a PhD-Position in machine learning. You will work alongside leading experts
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rotor blades? Great! Perhaps you have already carried out modal analysis and have experience in working scientifically. Are you familiar with programming languages such as Python and eager to pursue a
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”. Through a series of four experimental studies, you will examine how immersive disinformation, as compared to false information provided in other modalities, influences what individuals believe
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cooperating with industry partners from news media and media technology research topics like media experiences, recommender technology, content production and analysis, content interaction and availability, and
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production and analysis, content interaction and availability, and Norwegian language technology. The goal is to develop responsible technological solutions to societal challenges like AI, fake news, echo