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, the Netherlands, Belgium, Germany, Switzerland and Austria). The aim of the network is to develop new and trustworthy AI methods for longitudinal neuroimage analysis, helping clinical experts assess temporal
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innovation in industrial and built environment technologies. We are committed to educating a new generation of experts who combine technical excellence with a deep understanding of sustainable development in
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sustainable and reliable thin films. We expect you to develop chemical thin-film deposition processes such as atomic layer deposition (ALD), chemical vapor deposition (CVD), metal-organic CVD, plasma-assisted
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materials, designing more efficient processes and developing new materials and products. Our department’s areas of expertise enable sustainable future with high performance products and processes in circular
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tier academic journals. The research is broadly divided into three disciplines: information systems science, management science and SCM/logistics, with topics such as digital service development, service
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to the LUMI-AI supercomputer Developing and coordinating activities for AI students, researchers, company participants, and Research Software Engineers (RSEs), such as study groups, networking events, company
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academic journals. The research is broadly divided into three disciplines: information systems science, management science and SCM/logistics, with topics such as digital service development, service networks
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excellent potential for a productive scientific career. We are looking for highly qualified experts who have demonstrated outstanding research in one of two key areas the department wishes to develop
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, or other innovative approaches that, for example, contribute to sustainable evolution ubiquitous computing platforms. As a faculty member, you will complement our department's existing expertise in