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Field
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. The researcher will primarily design and execute total X-ray and neutron scattering experiments, using pair distribution function (PDF) analysis to elucidate the short- and medium-range atomic order in disordered
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the development and application of quantitative methods for traffic-safety analysis. The research will combine empirical crash and traffic data with statistical modelling, machine learning and traffic or driving
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biology to better understand mechanisms of treatment resistance and identify new therapeutic targets. To achieve this, we apply state-of-the-art technologies for molecular tumor analysis using both solid
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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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-safety analysis. The research will combine empirical crash and traffic data with statistical modelling, machine learning and traffic or driving simulation to study crash occurrence, injury severity and
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research resources. The project comprises two doctoral students working in parallel within the project. This position focuses on pharmaceutical analysis and biopharmaceutics in inhalation therapy. As a
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applications in different project contexts. This may include data analysis, modelling, literature reviews, and interaction with relevant stakeholders. The results are expected to contribute increased knowledge
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research environment with access to established experimental models and advanced methods for cardiovascular phenotyping, cellular and molecular analysis, and imaging. The work provides opportunities
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duties, up to a maximum of 20 per cent of full-time. Within the division several different research areas are represented. In particular we have a group in Potential Theory and Analysis on Metric Spaces
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proteomics, advanced image analysis, and computational approaches to investigate molecular and cellular heterogeneity and to integrate spatial molecular information with histopathological and clinical data. We