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understand drug targets and antimicrobial resistance (AMR) in Mycobacteria. MOLECULAR/COMPUTATIONAL MICROBIOLOGIST/BIOCHEMIST (Postdoctoral Research Associate) The successful candidate will develop and apply
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challenges in human genomics, applying them to large-scale genomic datasets encompassing millions of sequenced individuals and high-dimensional health-related data. The project will build on the group’s recent
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, including murine in vivo models, as well as in vitro studies using primary in-vivo and patient samples. You will apply flow cytometry to monitor immune responses and utilize next-generation sequencing
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planning and conducting speech experiments and data collection, and highly skilled in linguistic, acoustic and quantitative data analysis. With a strong research record, they will have the ability to manage
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changes. In this role, you will take a lead on developing data analysis approaches and contribute to the overall study design and implementation. In particular, this will involve applying existing or even
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necessary for the benefit of the project; • employ simulations and data analysis routines to analyze your data; • help to establish a scientifically outstanding and warmly communicative
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and evaluation. The post holder will take a leading role in advancing theoretical and algorithmic research in the domain of probabilistic preference aggregation, contribute to the design and analysis
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polyphenism at the molecular level, using techniques such as ATAC-seq and Cut&Run, coupled with gene expression analysis by RNA-seq. You will be a highly motivated individual, with experience in molecular
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detailed T-cell phenotyping and functional assays • Conduct mechanistic studies using molecular and cellular immunology techniques • Contribute to data analysis, presentation, and publication
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for multi-omics data analysis and will require establishing collaborations with Danish research partners. You will have a PhD in a quantitative subject (e.g. mathematics, physics, computer science