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project Imaging flow cytometry is a state-of-the-art quantitative flow-based image analysis technique. The combination of fluorescence microscopy and flow cytometry enables high-throughput imaging of cells
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, and imaging such as MRI or PET/CT following spinal cord or peripheral nerve injury is highly merited. The successful candidate should be proficient in spoken English and have prior experience of writing
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and its plasticity. The project will be carried out by applying “all optical physiology” methods, i.e. a combination of calcium imaging with optogenetics, in freely behaving animals in Paolo Medini’s
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. Your mission Understanding disease requires weaving together many layers of biological and clinical information. By fusing multimodal data including genomics, imaging, spatial omics, and patient records
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various organoid and cell culture methods, primary cell isolation, imaging and sequencing techniques) with capability in using computational tools (competent with R, python and command line tools) and are
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protein engineering, synthetic chemistry, nucleic acid technology, and state-of-the-art biophysical methods (spectroscopy, live cell imaging and nanotechnology) to address cutting-edge questions in biology
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combination of calcium imaging with optogenetics, in freely behaving animals in Paolo Medini’s lab, in collaboration with Olof Lagerlöf and UmU’s new visiting professor Valentina Emiliani. Tasks
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with characterization techniques (such as optical & scanning electron microscopy, image analysis, microhardness measurement etc.) Some of the experiments are expected to be conducted in close
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: The position demands a technical background in and skills related to: Detailed characterization of materials (morphology and microstructure by optical & scanning electron microscopy, image analysis
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techniques • Explainable AI/ML using visualization • AI/ML-empowered visual analytics of multivariate networks (network embeddings, …) • Large Language Model (LLM)-assisted visual analytics of text, images