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for an ambitious PhD student on perceptual foundation models. Your research is part of the Video & Image Sense Lab. Join our team! Recent breakthroughs in Artificial Intelligence resulted in the emergence
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how generative AI technologies reshape work practices. GenAI is no longer confined to automating routine tasks but increasingly produces outputs (e.g., texts, images, code) that were once the exclusive
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of the identified structures via stereolithographic, 3D printing and textile techniques like tufting, machine-based embroidery techniques or non-interlaced 3D pre-forming. Development of advanced imaging and
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performance; Perform and Analyse Particle Image Velocimetry data in shear controlled continuous experiments; Developing guidelines for controlling negative effects of SACs in anaerobic wastewater treatment
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content is created. Whether it is text, images, or music, generative AI can often produce results that match or surpass results created by humans. However, when it comes to engineering design, and
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different types of exercise limitations and muscle changes. Additionally, you will collect new data using non-invasive techniques like magnetic resonance imaging (MRI) and near-infrared spectroscopy (NIRS
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images based on pseudo-haptics. The goals are to understand the interaction between exploration movement, multisensorial cues, and material properties and to enhance material experience and object handling
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., gravity field, magnetic field, seismic measurements). These measurements are often sensitive to various interior properties and when taken separately provide only a partial picture of the interior. Still
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interpret thermal images with researchers and receive retrofit advice from professionals, the project aims to also improve the ability of households to take action. By addressing barriers to retrofitting and
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garments into recycle, reuse, and manual-review streams; this PhD project tackles the core challenge of designing and optimizing a high-throughput hyperspectral imaging system, fused with complementary