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                Field
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                development of methods for the non-destructive investigation of the pyramids of Giza in Egypt (World Cultural Heritage) in cooperation with our partners by using acoustic imaging techniques as part of 
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                -degree course). - Experience in fluorescence microscopy and image analysis. - Experience in analysing neuronal morphology and synaptic alterations BIs awarded to MSc who attend courses that do not confer 
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                the position. The vacant position is part of a collaboration between the Colour Vision and Retinal Imaging Laboratory headed by Prof. Rigmor C. Baraas, the Molecular Ecology Group headed by Jørn Henrik Sønstebø 
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                by PI Dr. Jessica Hsu (starting January 2026), is seeking highly motivated and creative postdoctoral fellows to join a research program that integrates molecular imaging and nanomedicine, leveraging 
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                innovation across the multidisciplinary landscape, and tackle the defining scientific challenges of our time. Research Fields: Mathematics and Applied Mathematics Imaging Technology and its Mathematical 
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                combination of high-end microscopy combined with fluorescent biosensor imaging, optogenetics and genetically-encoded molecular tools enabling subcellular manipulation in vitro and in vivo. She/He will also work 
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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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                environment, with access to state-of-the art brain imaging facilities (two research-dedicated MRI scanners / 1.5 and 3T, hybrid PET-3T MRI, MEG-EEG). The vibrant research community at CRNL and other nearby 
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                time, selectivity, noise and drift Perform physiological interference tests and develop protocols for continuous stability (24-72 h) and accelerated ageing Prototype devices on microelectrodes 
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                of high-throughput biological data, including single-cell RNA-seq, bulk RNA-seq, ATAC-seq, ChIP-seq, and/or image analysis, as well as other next-generation sequencing platforms. Candidates should be highly