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for tens of kilometers length. In this project, you as a postdoctoral researcher will mainly carry out: optimization of both fiber preform preparation and fiber drawing processes so as to reliably fabricate
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) program. Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular
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, computational modelling, bioinformatic analysis, and experimental vascular biology. Based in a dynamic translational research environment of data-driven life science, computational imaging, and vascular surgery
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multiagent dynamics, with special focus on human decisions and opinion dynamics. The research will deal with both theoretical and computational aspects. The student will develop dynamical models and apply them
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multiplex analysis. We will assist the computer scientists to apply artificial intelligence Machine Deep Learning models using the omics data of mitophagy to predict risk of cancer and metastasis and design
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description The subject of Energy and Environmental Engineering is built up and developed by the research in the research specialisation of Future Energy. This research programme is mainly technologically
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and development centre – an excellent infrastructure to develop and optimize membrane processes from lab to pilot scale. The project is part of COMPEL. COMPEL, "COMPetence for the ELectrification
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landscape, the focus of this position is on process design, system integration, and optimization of performance. Teaching at first, second and third cycle level is a central part of the department's mission
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application! Work assignments Subject area: Computational studies of the influence of microstructural features on the structural integrity of metallic materials using machine learning Subject area description
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and activities connected to our PhD program. In addition to producing individual research, the applicant is also expected to interact with existing researchers within the department, and to contribute