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Postdoctoral fellow within Microglia–Neural Circuit Interactions in Memory and Disease (PA2026/2262)
research projects within the lab’s research program Perform in vivo calcium imaging and behavioral experiments Analyze neuronal and microglial activity datasets (e.g., calcium imaging) Conduct
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to developing and maintaining tomographic imaging methodologies and supporting future beamline users. The project is led by the TomoWISE Beamline Lead Scientist, and the team will be part of the Beamline Office
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Electronics is offering a postdoctoral scholarship with focus on quantitative phase imaging of lipids and nanoplastics using widefield mid-infrared photothermal microscopy. The postdoctoral scholarship refers
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The Department of Applied Physics and Electronics is offering a postdoctoral scholarship with focus on quantitative phase imaging of lipids and nanoplastics using widefield mid-infrared
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expertise and unique know-how in theory, modelling, synthesis, atomic-scale imaging and spectroscopy, and nanoelectronics aiming to unlock the potential of AlN and UWBG materials for next-generation energy
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, structural biology, cellbiology and imaging. Both the Umeå Centre for Electron Microscopy , and the Biochemical Imaging Centre Umeå as well as other Umeå University facilities will be accessible as part of
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, tissues, and organs using antibody-based imaging, transcriptomics, and systems biology approaches. Since its launch, the atlas has generated one of the world’s most comprehensive open resources for spatial
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coherent caches and network on chip technologies. Who we are looking for The following requirements are mandatory: A doctoral degree or an equivalent foreign degree in Computer Architecture or similar areas
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environment including several research groups with extensive experience in virology, biochemistry, structural biology, cellbiology and imaging. Both the Umeå Core facility for Electron Microscopy (http
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could develop the algorithms, models and software that: design and simulate self-assembling DNA nanostructures and molecular machines; turn artificial molecular networks into images — reconstructing where