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and compare interaction and visualization techniques for using and interpreting detailed and high-resolution information and simulation results. This research is part of the NWO-funded NO REGRETS
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workflows. Familiarity with Linux/HPC environments (for the modeling position). Experience with data visualization or handling large datasets. Demonstrated interest in climate physics and/or cross
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Relations, Language Pedagogy, Law, Linguistics, Literary Studies, Material Culture Studies, Performing Arts, Philology, Philosophy, Political Economy, Religious Studies, Sociology, and Visual Culture Studies
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; affinity with decolonial and engaged anthropology and commitment to exploring multi-modal, visual, and co-creative methodological approaches. This is what we offer you The position concerns temporary
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. Our visual brain effortlessly distils a meaningful message from this, while even the most advanced AI techniques still struggle. Moreover, modern AI requires a lot of training data and energy to analyse
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background in human-centered design and qualitative research methods. Experience with data-centric design approaches and data visualization. Proficiency in prototyping tools and methods (both digital and
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characterization using cryo-electron tomography (cryo-ET), and complementary light microscopy methods. Specific objectives are: Setting up cryo-ET FIB SEM workflow for reconstituted synapses Visualize nanoscale
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environment perception in autonomous driving by integrating acoustics. Possible research directions include the use of audio-visual foundation models, audio-driven sensor fusion for object detection, cross
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empathy, adaptability, visualization, idea generation—essential for citizen collectives and civil servants to collaborate effectively on innovations driving societal transitions. You will explore how