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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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computer-controlled techniques. Through practical experiments, the doctoral student will push the boundaries of these materials, uncovering new design expressions while deepening the understanding
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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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Sweden’s national infrastructure for visualization of scientific data. Currently, InfraVis employs over 50 experts across nine universities. CIPA is Lund University’s local infrastructure for image
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and visualization of metabolomics data, support the integration of software tools for data (pre-)processing, biomarker discovery, and predictive modelling. Furthermore, serve as the metabolomics subject
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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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bioinformatics pipelines for the metabolomics data analysis and visualization of metabolomics data, support the integration of software tools for data (pre-)processing, biomarker discovery, and predictive
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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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machine learning, deep learning, and visual perception. The employment When taking up the post, you will be admitted to the program for doctoral studies. More information about the doctoral studies at each
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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