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Postdoctoral position in the development of an AI-based phenotyping system for high-throughput sc...
work. Qualifications PhD in computer science, computational biology, engineering, or related fields. Experience developing deep-learning tools for image processing, automatic monitoring of agricultural
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work. Qualifications PhD in computer science, computational biology, engineering, or related fields. Experience developing deep-learning tools for image processing, automatic monitoring of agricultural
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the Department of Computer Science, internationally recognised for its work in medical imaging and simulation technologies. The team brings together experts from multiple disciplines, fostering a stimulating
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an experience in technology-assisted monitoring or computational image analysis. Expected start date and duration of employment The position will start in June 2026, with exact starting date as agreed between
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integrates CRISPR-based genome engineering, quantitative and live-cell microscopy, biochemistry, and computational analysis to dissect how cells sense and respond to replication-associated threats. Recent work
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an expert in the extracellular vesicle field with skills in genetic engineering of extracellular vesicles (including transient/stable transgenesis of zebrafish), live embryo imaging, and spatial
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supercomputer (https://dcai.dk/gefion ). Downstream finetuning of models for various radiotherapy related tasks (e.g. image segmentation, dose prediction) will also be a part of the study. As part of the position
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on the city and the university please follow this link: https://international.au.dk/ The place of work is Department of Biology, Section for Microbiology, Ny Munkegade 116, 8000 Aarhus C. Application procedure
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is funded by the Energy Technology Development and Demonstration Programme (EUDP) and aims to deliver a standardised, robust, and scalable subsea electrode unit for HVDC systems. The successful
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understanding of bone and bone diseases, as well as their treatment. DanSIC mission is to advance the field of spatial biology through innovative imaging technologies and bioinformatics, in order to provide