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Field
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techniques have been demonstrated to enable spin-wave imaging with spatial resolution down to 50 nm with excellent signal to noise ratio. The PhD/postdoc will focus on investigating unexplored spin-wave
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Postdoc of Computer Science: Geometric models for non-diffeomorphic shape evolution and shape models in plant science, Department of Computer Science, Faculty of Science, University of Copenhagen
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between complex instances such as point clouds, images or graphs. However, as the modern data are increasingly high-dimensional, OT is also now facing an old problem in optimization and statistical learning
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support, the centre plays a key role in driving technological development and innovation in fluorescence imaging. Joining this team means working at the forefront of microscopy in a collaborative, research
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support, the centre plays a key role in driving technological development and innovation in fluorescence imaging. Joining this team means working at the forefront of microscopy in a collaborative, research
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We are seeking an enthusiastic and dedicated postdoc to work on our NERC funded project, ‘Genetic architecture of brain evolution during ecological divergence’. This NERC project aims to to reveal
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support, the centre plays a key role in driving technological development and innovation in fluorescence imaging. Joining this team means working at the forefront of microscopy in a collaborative, research
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of fish, using DICE-CT and advanced image analyses to quantify brain composition in our sample sets. You will be responsible for managing the completion of this processes, combining it with genomic datasets
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confocal, and super-resolution microscopy to perform live-cell and fixed-cell imaging. Apply advanced image processing using ImageJ, Matlab, and other platforms. Interpret complex imaging datasets and
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faculty member at the Associate Professor level from candidates with a Ph.D or equivalent degree specializing in biomedical engineering, electrical & computer engineering, neuroscience, or related fields