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The University of Copenhagen invites applicants for an Assistant Professor and ECVS or ACVS diplomate of Companion Animal Surgery at the Section for Diagnostic Imaging, Companion Animal Surgery and
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related field at the level of a master degree Programming skills (Python) and experience with common machine learning platforms Experience with deep learning, computer vision, medical image analysis
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deep learning, computer vision, medical image analysis or unsupervised learning is an advantage. English language skills, both written and spoken Qualification requirements PhD stipends are allocated
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, data management and analysis (under supervision) Performing research tasks within the area of classical archaeology, e.g. Literature searches and image processing Supporting processes in connection with
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O-PTIR, Raman, and fluorescence imaging methods. Analyze micro- and nanoplastics in biological and environmental samples. Process spectral and imaging data using chemometrics and multivariate
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take approaches combining mouse developmental genetics, cell-type-specific viral tracing, ex vivo electrophysiology, opto/chemogenetics, in vivo imaging, single-nucleus RNA sequencing (snRNA-seq), and
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universities. The transition towards electrified and energy-efficient energy systems poses significant challenges in predicting the coupled behaviour of thermofluid, electromagnetic, and rotordynamic processes
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, data management and analysis (under supervision) performing research tasks within the area of classical archaeology, e.g. literature searches and image processing supporting processes in connection with
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which reforms are necessary to realize the principles of an ideal democratic process and deliberative system as laid out in WP3 of the MoPo project, to which the postdoc will also contribute. Most
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tracking analysis (NTA), NanoFlow cytometry, and advanced imaging techniques, as well as bioinformatic analysis of small RNAs and transcriptomic data. You will collaborate closely with partners working