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, as each field handles only one file. We do not accept zip-files, jpg or other image files. All pdf-files must be unlocked and allow binding and may not be password protected. The assessment process
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and maintenance of monitoring buoys and related sensor systems. Apply image analysis and machine learning techniques to ecological datasets. Develop and implement multi-platform monitoring frameworks
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-based imaging technique Dark-Field X-ray Microscopy. Installed at the European Synchrotron Radiation Facility in France we utilize it to visualize the evolution of internal structures in metals during
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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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imaging. The project is collaborative, involving national and international partners including Jean Farup (Steno Diabetes Center Aarhus), Lasse Steffensen (University of Southern Denmark), Johan Lind (DTU
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exciting opportunity to work in AM2PM, an EU-funded project, on the future paradigm for the construction of multistorey buildings in which a comprehensive system-of-systems approach. AM2PM intertwines (a
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well as the Center for 4D cell dynamics. Both centers utilize advanced microscopy setups and quantitative image analysis to elicit a detailed understanding of the interplays of the dynamics and spatiotemporal
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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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through online surveys and interviews, prototype development for accessible setup and operation of nanoservers (both on web and mobile platforms), and longitudinal evaluation of the prototypes through live
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and working as a PhD at DTU. Application procedure Your complete online application must be submitted no later than 15 May 2026 (23:59 Danish time). Applications must be submitted as one PDF file