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associated with the Wallenberg (DDLS-WASP) project Machine-Learning how our Cells Capture Energy - Data-Driven Studies of Membrane Protein Function, Evolution, and Disease. We are searching for a highly
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: www.scilifelab.se/data-driven . Project description The position will be associated with the Wallenberg (DDLS-WASP) project Machine-Learning how our Cells Capture Energy - Data-Driven Studies of Membrane Protein
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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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applications, such as electrocatalytic CO2 conversion and energy storage. In addition, the position will saupervise junior researchers and take care of the laboratory routine. Qualification requirements
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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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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
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particular, the aim to develop more sustainable chemical processes minimizing the use of energy and resources and generation of waste, in turn reducing the environmental impact of the production of chemicals