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pharmaceutical materials. In this postdoctoral project, chemically modified cellulose fibers and pharmaceutical formulations are the focus. The aim is to adapt and develop methods in solid-state DNP-NMR
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. The research will encompass the development of liquid chromatographic methods in combination with acoustic fields for enrichment and separation of extracellular vesicles. Detailed description of the work duties
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-year fellowship in Artificial Intelligence (AI) driven plant genomics. The project focuses on generating new AI-driven method for identification, annotation and functional investigation of long non
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repertoire sequencing to examine vaccine-induced antibody and B cell responses in rituximab-treated multiple sclerosis patients across three doses of the BNT162b2 mRNA vaccine. The goal is to identify key
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(RTP) by metal-free compounds and double thermally activated delayed fluorescence (TADF) from single molecules. Work assignments The proposed postdoc project among others will include computational
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processes and the use of economic theory and quantitative methods as key analytical tools. Major research areas include economic growth and structural change, innovation, energy and sustainability
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space, with a focus on butterfly caterpillar-plant interactions and development of phylogenetic methods. The successful candidate will be responsible for coordinating a study of transcriptional plasticity
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of marine technology. This position offers an inclusive environment with close collaboration with the Swedish marine industry, focusing on developing methods and tools to address fluid-structure interaction
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particular, this holds for the principles of electroluminescence of OLEDs based on luminescence by radicals, room temperature phosphorescence (RTP) by metal-free compounds and double thermally activated
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LiDAR and UAV photogrammetry) with physiological and spectral indicators of forest health. The research will be conducted at multiple spatial scales, from single trees to landscapes, and integrated