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this information in conjunction with advanced 3D spheroid CRISPR screens and functional analyses to understand how cancer cells sense and react to key aspects of their environment. Finally, we will combine
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The Rasmussen Group focuses on development and application of computational algorithms such as machine and deep learning for analysis and integration of multi-omics and multi-modal data within cardiometabolic
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coordinate DNA and chromatin replication towards the flawless inheritance of genetic and epigenetic information. Start date is expected to be 1st September 2025 or as soon as possible thereafter. The project
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conducting microbiological work and should preferreably have practial experience within molecular biology laboratory techniques as well as practial experience with omics data analysis (e.g. NGS workflows and
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thereafter. The project The PhD project is mainly based on data from the Generation Healthy Kids project, a large-scale 2-year school- and community-based multi-component, multi-setting intervention among
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. The successful candidate is expected to utilize the data resources affiliated with the center, and in this case in particular the dialect archives and collections at NorS. Depending on the successful candidate’s
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of samples. To apply and further optimize data analytical workflows. A comprehensive database will be created, documenting the key chemical and physical properties of advanced bio-oils. The qualified applicant
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interdisciplinary environment, which offers fantastic scientific and social interactions with a large group of talented researchers. Further information on the Niels Bohr Institute is found at https://nbi.ku.dk
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of state-of-the-art imaging technologies, high resolution single cell data sets that will be established on non-trial samples. The PhD will include bioinformatic support from internal and international
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Helicobacter pylori bacteria interact with each other and their host in a gastric organoid and organoid-derived monolayer cell culture system. Information on the department can be found at https://globe.ku.dk