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advanced data science, using state-of-the-art human stem cell models to uncover previously unrecognized environmental risk factors for Parkinson’s Disease. You will, in close collaboration with a PhD student
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of haematopoietic cells are influenced by different microenvironments. To achieve that, we use state-of-the-art single-cell RNA-seq, multiome, and spatial transcriptomics data generation combined with computational
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area. The postdoc’s duties will include research within marine plankton interactions as well as teaching and dissemination. The post may also include performance of other duties. About the Natural
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implement state-of-the-art data science principles into dental practice. While our primary focus is on the use of deep learning in (dental) imaging, our work expands into any type of data (e.g. tabular data
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interaction with the environment, with the goal of understanding their optical signatures and improve their performance. You will work in close collaboration with the experimental team. Your theory will provide
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sections working on distributed energy systems, hybrid power plants, smart grids, power system flexibility, and market design and operation. The section undertakes internationally leading research and
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crystalline materials is often responsible for improved materials performance, but it is commonly overlooked in computational materials design. In this project, we will focus on developing accelerated
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group, supported by a prestigious LEO Foundation Dr. Abilgaard Fellowship. You will work within a vibrant international team with direct access to state-of-the-art lab platforms (including MACSima
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performative aspects of dictators’ communication, and it seeks to explain how and why such communication changes across different strategic contexts (such as during different types of crises). Utilizing, among
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group, supported by a prestigious LEO Foundation Dr. Abilgaard Fellowship. You will work within a vibrant international team with direct access to state-of-the-art lab platforms (including MACSima