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focuses on predicting cell type-specific responses to genetic alterations, identifying transcriptional signatures indicative of treatment sensitivity, and predicting the effects of the cell type composition
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-omics analyses, we have been granted funding from DDLS in the field of data-driven precision medicine and diagnostics (see below). The project is titled: Causes and consequences of whole-body composition
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requirement to have experience in standard synthesis, interpreting NMR spectra and LC-MS/MS fragmentation spectra to assess synthesized compound purity and composition, and to have experience with synthesis
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. The project revolves around developing Traident – a new method to resolve the species origins and compositions of complex RNA sequence data. This will extend Kraken2 with analyses of ribosomal RNA and microRNA
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Networks. The project encompasses several challenges in the gene regulatory network (GRN) field, from simulating realistic networks and data to accurate inference of GRNs from noisy gene expression data
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description The project focuses on studying the evolution of evolvability using computational simulations. Evidence from evolutionary developmental biology suggests that evolvability can change rapidly in
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interdisciplinary project. The project concerns algorithm design, implementations of algorithms, and simulated and biological data analysis. The student is expected to learn a bit of relevant molecular biology to
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, biophysics Machine learning and generative AI Molecular modeling and molecular dynamics simulations LNP formulation and characterisation including e.g. small angle scattering, microscopy, single particle
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of false documents is a violation of Swedish law and is considered grounds for legal action. (A) and (B) can only be certified by the documentation requirement for doctoral education . Your profile We
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reconstitution to study the replication of positive-sense RNA viruses. This is a vast group of viruses responsible for serious diseases such as Dengue, Chikungunya, TBE and viral myocarditis. To copy their genomes