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well as access to sequencing facilities, high-end computer clusters, and an imaging and electron microscopy core facility. Research in our group covers diverse invertebrate lineages, with particular strengths in
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validation. Data Processing: Documentation, data analysis, and contribution to reports/publications. Expected Outcomes: TRL 5 UAV prototype. 3 Q1 publications and one patent contribution. Workflow for morphing
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Postdoctoral Researcher in Molecular Systems Biology, you will develop and apply world-class methods to image and analyze the dynamics of individual chromosomes across bacterial strain libraries. Your work will
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About Us The appointee will join the School of Biomedical Engineering & Imaging Sciences. About The Role The research associate will lead the development of cutting-edge multi-modal MRI foundation
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. The work will be carried out in the Archaea group, Section for Microbiology, Department of Biology with collaborations for Cryo-EM & correlative imaging (EMBION) at iNANO & the Department of Molecular
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. The postdoctoral position will be based in the Precision Agriculture, Hydrology and Geoinformation Science Laboratory (PAHGISL) at the University of Sydney. The project team at the University of Sydney includes
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 13 hours ago
, dynamical systems, and scientific computation. Ideal experimentalists will have strong skills in experimental fluid mechanics, including laboratory design, high-speed imaging, flow visualization, and
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system capable of preparing and processing the cornea. In this project, the postdoctoral candidates will be responsible to develop an optical coherence tomography (OCT) integrated with a laser ablation
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talented Postdoctoral Researchers to join us in the NOVEL Postdoctoral Programme co-funded by the Marie-Skłodowska-Curie-Actions COFUND of the EU funding programme Horizon Europe. About the job We have five
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of Biomedical Engineering & Imaging Sciences. About The Role The research associate will lead the development of cutting-edge multi-modal MRI foundation models. These models will leverage both imaging data and