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PhD Scholarship in University Students’ Learning Via Digital Twins of Neutron Scattering Instruments
. The digital twins will allow students to perform virtual experiments. ACCESS will make digital twins for ESS instruments on imaging (ODIN), inelastic scattering (BIFROST), small-angle scattering (LOKI) and
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interaction among academic staff, postdoctoral researchers, PhD fellows, and students. We share an ambition to contribute to the green transition through research with practical relevance. At Campus Esbjerg
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sector coupling. The working culture is collaborative and informal, with close interaction among academic staff, postdoctoral researchers, PhD fellows, and students. We share an ambition to contribute
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candidate and a postdoctoral researcher. The candidate’s workplace will be in Aalborg. As part of this project, you will investigate the impact of generative AI on creative processes and design novel ways
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of novel methods to decompose the heterogeneity of psychiatric disorders, particularly ADHD, using large-scale genetic, imaging, and epidemiological data from Denmark and other countries. You will apply
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, deterministic systems. You model them, you optimize them, you operate them. That paradigm is breaking down. As electricity replaces fossil fuels, industrial systems must operate under fundamentally new conditions
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to molecular hydration. The student will develop experimental methodologies and combine these with state-of-the-art characterization techniques, including Magnetic Resonance Imaging (MRI), Nuclear Magnetic
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imaging, NGS, etc.) shared between the research groups at BRIC (www.bric.ku.dk) and the neighbouring Finsen Laboratory. We have weekly journal clubs, data clubs, seminars with invited speakers and a young
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potential for recovery, remain poorly understood, limiting the development of sustainable and durable energy storage systems. In this project, you will help establish a new paradigm for batteries based
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Danish health registry data, you will work with spatial data, such as disease maps and medical imaging. Such data are highly informative but also pose significant privacy risks. Your work will focus