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topological phases and hysteresis-driven memory mechanisms. You will work closely with experimental and theoretical physicists and material scientists at DTU Physics, DTU Energy as well as our collaborators
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Fluid Flow research group, where research in the general area of fluid mechanics and heat transfer is performed. A focus area in the group is modeling of multiphase flows with application in green
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machine learning methods, including symbolic regression and neural networks. You will apply the algorithms to the discovery of new models in different fields, including robotic control, fluid mechanics and
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experimental procedures, these knowledge gaps will be tackled. Novel diagnostic tests will be developed, allowing the underlying mechanisms to be studied and deficits to be detected. Furthermore, novel
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detected and compensated. Using various experimental procedures, these knowledge gaps will be tackled. Novel diagnostic tests will be developed, allowing the underlying mechanisms to be studied and deficits
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injection, ion transfer, and structural dynamics in realistic and model systems for battery materials. The position will span experimental efforts at large scale X-ray facilities, handling and reduction
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bioreactors. The work will be carried out within an active team operating at the intersection of experimental engineering and system-level process design Expected start date and duration of employment
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occurrence and significance of dark oxygen production in natural systems remain unknown. The successful candidate will develop and employ experimental techniques for the detection and quantification of dark
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the role and mechanisms of receptor signalling in neuronal plasticity. The center of Excellence for “Protein in Memory” seeks to understand the molecular basis for memory with an emphasis on protein
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The Department of Energy Conversion and Storage at the Technical University of Denmark (DTU Energy) invites applications for a 2-year experimental postdoc position to work on structural