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with the goal of inspiring ocean mapping and delivering a complete map of the world's ocean floor by the year 2030 for the benefit of humankind. While the available high-resolution seafloor mapping data
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Ref. No. SU FV-0880-24 at the Department of Computer- and Systems Sciences . Closing date: (15 April 2024). Prolonged application time - new closing date: 29 April 2024. The Department of Computer
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faculty and research staff at local universities. Further information about Nordita can be found at www.nordita.org . Project description The project aims to explore the quantum dynamics of many-body
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10 Apr 2024 Job Information Organisation/Company Stockholm University Research Field Computer science Researcher Profile First Stage Researcher (R1) Country Sweden Application Deadline 23 Apr 2024
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diffraction, electron microscopy, solid-state NMR, and computer modelling of materials with a potential for various applications. Research activities in the area of Analytical Chemistry focus on developing
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of this project is to develop computational algorithms and methods that use omics data to infer gene regulatory networks (GRNs), and apply these to understand regulatory mechanisms that lead to cancer formation
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Prof. Jorrit Leenaarts on current problems in solar physics using observations with the Swedish 1-m Solar Telescope (SST) on La Palma. The focus will be on the analysis of data from the advanced
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diffraction, electron microscopy, solid-state NMR, and computer modelling of materials with a potential for various applications. Research activities in the area of Analytical Chemistry focus on developing
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PhD student in Organic Chemistry in the area of Sustainable organic synthesis using mechanochemistry
are avoided. The sustainability of the new process will be compared to their solution-based counterparts using a number of different metrics. See the group website www.organ.su.se/bo/ for more information
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During Early Human Brain Development". The PhD project is aimed to perform computational analysis of multimodal single-cell and spatial epigenomic analysis. The student will use data analysis approaches