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Title: Disentangling and modelling behaviourally-relevant visual and semantic dimensions of visual cognition in the human brain (Kamila Maria Jozwik lab, the University of Cambridge)Application
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3 Dec 2025 Job Information Organisation/Company Graz University of Technology Department Institute of Visual Computing Research Field Computer science Researcher Profile First Stage Researcher (R1
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How does the human brain combine what we hear with what we see during language processing? Why can language users so effortlessly integrate auditory signals, such as speech, with visual signals, such as
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projects for sustainable, intelligent, and climate change-resilient infrastructure slopes. Current earthworks assessment remains largely based on visual inspection of the surface. Subsurface deterioration is
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implementations (e.g., biophysical models), as well as models of machine intelligence (e.g., deep convolutional neural networks). We test the models' predictions in our empirical studies with human participants
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technology, the AO-RSO (Adaptive Optics Rolling-Slit Ophthalmoscope), enabling in vivo visualization of red blood cell dynamics and vascular diameter changes during NVC. The goal of the PhD is to leverage
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(TUM), Campus Heilbronn. We seek exceptional candidates excited about graph drawing, network visualization, and information visualization. The specific research focus can be chosen by the applicant based
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objects in our visual environment under the aforementioned EU-funded ERC Research Program. About the lab Our lab investigates how cortical circuits interact to form transformation-invariant object
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strategies to reduce hallucinations or improve model confidence Evaluate and benchmark against state-of-the-art methods the reliability and robustness of the hallucination detection system under diverse visual
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patient-generated language reports. Explore advanced fusion strategies for integrating heterogeneous modalities into context-aware clinical decision support systems. Create visual and language-based