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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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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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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
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Institute (MBW) experimentally addresses fundamental problems in molecular cell biology, integrative biology, and infection and immunobiology. State-of-the-art and advanced methodologies are applied in a
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. We are seeking PhD candidates with strong and documented backgrounds in biophysics, biochemistry, molecular biology, or related fields. Proficiency with molecular cloning, protein purification, cell
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background in biochemistry, molecular biology or cell biology. Priority will be given to applicants with prior experience in the above techniques (please include documentation). Qualification requirements In
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Institute (MBW) experimentally addresses fundamental problems in molecular cell biology, integrative biology, and infection and immunobiology. State-of-the art and advanced methodologies are applied in a
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for, large-volume neutrino experiments necessary to detect high-energy neutrinos, either directly from galactic and extragalactic sources or produced by cosmic rays in the atmosphere. Main responsibilities
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(EFSA), aims to integrate cell models of glia cell-mediated neurotoxicity during brain development. The current position in the project is mainly theoretical and data driven. It includes work to identify