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-Performing Computational Fluid Mechanics. Great emphasis will be placed on personal skills. Join us at KTH KTH shapes the future through education, research and innovation. As a leading international technical
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soft, substrate-free, conducting materials directly in living tissues. This work focuses on advancing the understanding of polymerization kinetics, expanding the enzyme repertoire, and designing custom
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extension) will focus on understanding pattern formation at the Arabidopsi shoot apex integrating the activities of transcription factors, microRNAs and microProteins. This project leverages advanced
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, TensorFlow), is essential for developing and adapting advanced AI models to integrate heterogeneous datasets. You exhibit solid analytical skills, the ability to design robust computational workflows
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sequences, with applications ranging from biogeographical mapping to paleogenetic reconstructions. The candidate will work jointly with Dr. Eran Elhaik to design machine-learning models that unlock
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, miRNA, and proteome level from multiple lung compartments to construct a model of disease. The work will be conducted on one of several unique clinical cohorts designed to investigate different aspects
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molecular tools (e.g., CRISPR-based genome engineering), computational algorithms, and DNA/RNA sequencing and synthesis to design useful cell behaviors. The scope of this project is to combine multi-gene
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specification of author contributions in co-authored works) A research plan presenting the proposed research area within the framework of the overarching project “Gender Struggles in a Populist Time”, 3–5 pages
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, electrification of heat, and energy storage are deemed. We aim to design and prototype different technologies, including low and high temperature thermal energy storage and integrated systems. The postdoc will
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KTH shapes the future through education, research and innovation. As a leading international technical university, we play an active role in advancing the transition towards a sustainable society. At