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)—that is, the inability of a model to effectively process or understand visual information. This work involves integrating visual encoders with language models to create multimodal systems. The emphasis is
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shown in a digital portfolio (e.g. PDF, video, or website). Further merit is given if the applicant has experience or interest in working with digital fabrication tools and visualization software such as
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(UAVs). The goal is to develop a system capable of analyzing and synthesizing multi-modal data—combining visual imagery with textual inputs—to enhance UAV capabilities in real-world applications
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have experience or interest in working with new upholstery materials, such as bio-based foams, recycled textiles, or innovative filling and support systems, as well as familiarity with visualization and
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transcriptomics data, so familiarity with RNA-seq analysis, data visualization, and computational workflowsis required. The candidate should have a strong motivation to apply computational approaches to biological
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possibilities to visualize the architecture and molecular machines driving bacterial growth and development. The bacterial cytoplasm and plasma membrane is a crowded environment, filled with biomolecules, with
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SciLifeLab for Cryo-EM and cellular volume imaging, providing “state of the art” technology access for this project. Cryo electron microscopy (cryo-EM) methods provide possibilities to visualize