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, our clinical partner at Aarhus University Hospital and Ana Namburete, an ultrasound image processing expert at the University of Oxford. The project will make use of the CFIN’s new 96-sensor QuSpin
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quantification of microbial Infections of Plant tissues”. This project aims to understand how root nodules are colonized by rhizobia using X-ray tomography and advanced image analyses. The postdoctoral candidate
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Imaging Consortium (DanSIC) within Molecular Bone histology (MBH) lab at the Research Unit of Pathology , the Department of Clinical Research , Faculty of Health Sciences , University of Southern Denmark
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, chemical etching, or FIB milling is a strong advantage. Familiarity with optical setups for imaging or polarization-resolved analysis will be considered a significant plus. Responsibilities You will be part
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) Experience with plant biochemistry, genetics and physiology Experience with bioinformatics and coding in Python or other programing language Experience with protein software tools like AlphaFold3, Boltz2
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Municipalities, which is funded by the Velux Foundation. Read Velux’s presentation of the project at: https://veluxfonden.dk/en/projekt/migrant-solidarity-network-local-dynamics-civil-society-and-municipalities
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) Experience with plant biochemistry, genetics and physiology Experience with bioinformatics and coding in Python or other programing language Experience with protein software tools like AlphaFold3, Boltz2
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imaging. This position offers the opportunity to develop cutting-edge platforms for real-time monitoring of human tissue metabolism in physiologically relevant models. You will play a key role in our
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Zeeman Imaging Explorer (EZIE) satellite constellation. Observations from ground magnetometers, radars, and satellite missions will be combined to characterize the dynamics of the coupled magnetosphere
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survivors compared to the general population, and to investigate neonatal health outcomes in children born to survivors. Where to apply Website https://candidate.hr-manager.net/ApplicationInit.aspx?cid=1572