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of Health Science and Technology, one or more PhD stipends in Unsupervised Learning for Medical Image Analysis are available for appointment from November 1, 2026, or as soon as possible thereafter
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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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other relevant stakeholders. The PhD student will contribute to the prototype development, feasibility test and evaluation of innovative cross-sectoral pathways and will be involved in data collection
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pumping technologies for future electrified energy systems. We are currently recruiting a PhD candidate at DTU for a project on the multi-physics modelling of bearingless pumps. A parallel PhD position is
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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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, 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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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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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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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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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