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are now seeking a highly motivated postdoctoral researcher with expertise in spatial omics, image analysis, and computational analysis of complex biological data. Work duties The main duties involved in a
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application! Work assignments Research focus: implementation of an evidence-based digital support programme delivered through 1177 for informal caregivers of people with heart failure, combined with user
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cells, and their spatial organization within the tumor microenvironment. We use spatial transcriptomics and spatial proteomics, advanced image analysis, and computational approaches to investigate
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(NC). In the project, we aim to establish a reliable analysis package for nitrocellulose. Your role is to develop and validate methods for the key properties of NC – including degree of substitution
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simulation and AI-supported data analysis are central tools. The work is carried out at the Department of Fibre and Polymer Technology and in collaboration with FOI and industrial partners. Qualifications
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Do you want to develop your research and teaching in an environment where collaboration with industry and society is a natural part of the work? With us, you will collaborate with dedicated
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School of Engineering Sciences in Chemistry, Biotechnology and Health at KTH Job description Quantitative analysis of lipid nanoparticles (LNPs) using Cryo EM is challenging due to heterogenous
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: It is highly meritorious if the doctoral degree has been obtained within the last three years prior to the application deadline Experience with optical instrumentation and quantitative signal analysis
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species, a storm-exposure hazard index, and bark-beetle susceptibility signals, designed in collaboration with regional authorities and forest owners associations. As part of this work, the project will
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research environments in Computational Science, the research and education has a unique breadth, with large activities in areas such as numerical analysis, mathematical modelling, development and analysis