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-causing mutations. Finally, we will validate the identified key (epi)genetic molecular and eplore their therapeutic potential in in vitro and in vivo disease models. Profile The candidate should: have an
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research in Europe. Research at UPSC covers a wide range of disciplines in plant biology including ecology, computational biology, genetics, physiology, biochemistry, cell biology and molecular biology (see
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welcome you to apply for a DDLS PhD position in Data-driven cell and molecular biology at the Department of Information Technology, Uppsala University. The Department of Information Technology holds a
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combines microbial genomics, transcriptomics, and in vitro infection models to explore the adaptive trade-offs between drug resistance and virulence phenotypes. The position is funded for 3 years and
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inheritance. Using an open-ended model, we will explore molecular structures of life as we know it (DNA), as well as other potential polymerisation rules. These models will also help interpret and guide
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The University Medical Center Göttingen (UMG) unites the Medical Faculty of the Georg-August University and the University Hospital in an integration model. With around 9,700 employees, the UMG and
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explanation at the molecular level. The candidate will be located in Norway, Bodø and have at least one research stay at the Roscoff Research station in France. The KELP-SHIELD project ‘Sugar Kelp Priming
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PhD position - Modelling the emergence of information transfer in prebiotic self-replicating systems
and inheritance. Using an open-ended model, we will explore molecular structures of life as we know it (DNA), as well as other potential polymerisation rules. These models will also help interpret and
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include, but are not limited to, in vitro culture of primary human cells and cell lines, organ-on-chip models, molecular biology, diverse immunological assays, advanced flow cytometry, fluorescence
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The doctoral student project and the duties of the doctoral student This Data Driven Life Sciences (DDLS) PhD project focuses on probabilistic models of protein structure, which can be used primarily