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across nine universities. CIPA is Lund University’s local infrastructure for image processing and analysis. CIPA is also the coordinating unit for Lund University's InfraVis node, consisting of around 10
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mutagenesis, imaging, genomics, and single-cell transcriptomics. The project and research environment will give the dedicated student the opportunity to train as a first-class researcher. PhD project 2: The PhD
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the national infrastructure network 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
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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
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. Development of advanced imaging and characterization technologies (X-ray micro tomography, EPR imaging and spectroscopy) to evaluate performance of electrodes and to map electrolyte chemical composition in
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and textile techniques like tufting, machine-based embroidery techniques or non-interlaced 3D pre-forming. Development of advanced imaging and characterization technologies (X-ray micro tomography, EPR
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for multimodal machine learning, combining large-scale image data with molecular profiling and clinical data. This includes, for instance, research on deep learning-based image analysis and data assimilation
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dynamics and heat transfer research. Programming skills in Python and MATLAB, particularly in machine learning, data analysis, and image processing. Experience working in Linux environments. Ability
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a focus on visual language grounding, in other words, the linking of elements of natural language (words, phrases, or sentences) to visual inputs (such as images or video) in a meaningful way. The
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dynamics and heat transfer research. Programming skills in Python and MATLAB, particularly in machine learning, data analysis, and image processing. Experience working in Linux environments. Ability