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system level where the impact on the entire food system will be analyzed. Of interest are, for example, novel food technologies, but also well-known food processing methods such as for example tofu and
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) researches and develops knowledge about and innovative proposals for how planning processes can be further developed, and how both urban and built environments and buildings can be designed to better meet
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flow, fluid dynamics, and sustainable energy systems. The research focuses on developing new methods to study and model multiphase flows as key phenomena in energy and industrial processes. The work
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to ensure optimal tissue concentrations during surgery. The PhD student will utilise national and international arthroplasty registry data, adapt in vitro diagnostic tools such as the Minimum Biofilm
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and survival in host cells. Through a combination of microbiology, imaging, molecular biology, and translational modelling, the PhD student will generate data to support the design of biofilm-resistant
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salary plus allowances package according to the Marie Skłodowska-Curie / Innovative Training Networks rules. Selection process Have not been awarded a doctoral degree. Researchers who have successfully
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picture of reaction intermediates in photocatalysis. You will be involved in all steps of the project, i.e. to design and program the software, to perform computational and real-world experiments
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, Experience in image processing and image analysis of tomographic or other imaging data, High motivation, ability to quickly learn new techniques, and strong time management skills, Strong collaboration and
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essential tool for training and testing of AI models and control systems for robots and autonomous vehicles. In a digital environment, large amounts of annotated training data can be created safely and easily
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focus on image processing and restoration, to develop novel AI-based approaches to restore and denoise Transmission Electron Microscopy (TEM) images. This position is part of a cross-disciplinary research