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questions related to the molecular regulation of autophagosome formation, using cell biological, genetic, and imaging-based approaches. The candidate will explore the function and regulation of proteins
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learning-based image classification approaches. The objective is to quantify landscape changes over decadal timescales, with a particular emphasis on Western Norway. Relevant transformations include
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. This postdoctoral position is part of the EU cofund research project AMBER, Advanced Multiscale Biological imaging using European Research infrastructures, will address scientific and sectoral gaps in biological
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landscape analyses using satellite images before field mapping. The time series will be based upon studies of sediments deposited in glacier-fed distal lakes analysed with ultra-high-resolution scanning
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national and international partners. The PhD project will focus on integrating advanced photogrammetric techniques applied to historical aerial imagery with modern deep learning-based image classification
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) you wish to be considered for in your cover letter. Job Purpose You will contribute to/make a leading contribution to a project EPIC (the Scottish Government funded Centre of Expertise on Animal Disease
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eikones - Center for the Theory and History of the Image at the University of Basel The center invites applications from outstanding junior and senior researchers in the humanities, social sciences
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research environment to perform collaborative research on mesoscopic physics in Kagome Lattice and vdW 2D systems by magnetic imaging using scanning probe microscopy such as MFM (magnetic force microscopy
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live-cell imaging of mitochondria in plants, algae, and marine metazoa with computational analysis to find the universal principles of mitochondrial motion across these species. The project is part of
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, imaging approaches and/or bioinformatics. Postdoctoral Fellow – Banerjee Lab – 00399 Our lab is interested in how the brain accomplishes the ongoing transformation from sensation to action during natural