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questions in high energy theory and theoretical particle physics. Via results about holographic duality, the project may also address quantum descriptions of black holes and emergent spacetime geometry. We
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for PhD candidates for mechanistic studies of proteins catalyzing biological energy conversion, in particular enzymes responsible for cellular respiratory or photosynthesis. The project is focused on how
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for PhD candidates for mechanistic studies of proteins catalyzing biological energy conversion, in particular enzymes responsible for cellular respiratory or photosynthesis. The project is focused on how
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postdocs will be part of the Research School. The DDLS programme has four strategic areas: Cell and Molecular Biology, Evolution and Biodiversity, Precision Medicine and Diagnostics, Epidemiology and Biology
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postdocs will be part of the Research School. The DDLS programme has four strategic areas: Cell and Molecular Biology, Evolution and Biodiversity, Precision Medicine and Diagnostics, Epidemiology and Biology
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cell biology, integrative biology, and infection and immunobiology. State-of-the art and advanced methodologies are applied in a professional research environment characterized by its well-established
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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
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19 Mar 2024 Job Information Organisation/Company Stockholm University Research Field Engineering » Materials engineering Technology » Energy technology Physics » Condensed matter properties
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PhD student in Organic Chemistry in the area of Sustainable organic synthesis using mechanochemistry
synthesis methods under mild conditions. By using the unique activating platform of mechanochemistry, byproduct formation can be minimized, and hazardous organic solvents and isolation of high-energy reagents
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use combination of cutting-edge single-cell and spatial epigenome mapping technologies together with CRISPR/Cas9 genome editing and bioinformatic data analysis to characterize known and unravel novel