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The project will be part of the new DREAM (Dermatology Research Across Multiple Disciplines) Center financed by the LEO Foundation. You will be part of building this new center which spans over Aarhus
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, ambitious, dynamic, and well-resourced working environment. Our unit and our department have state-of-the-art facilities for flow cytometry, next generation sequencing, single-cell transcriptomics, mass
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facilities (e.g., single-cell platforms, sequencing, proteomics and bioimaging) and extensive expertise in functional genomics, single-cell analyses, gene-regulatory mechanisms and cancer biology. This
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combination of traditional molecular biology approaches and high-throughput technologies such as RNA-sequencing and NanoString CosMx technology. To ensure that the group is at the forefront of translational
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teaching activities. You hold a PhD in microbiology/microbial ecology or similar, and you have experience in bioinformatic methods for analyzing environmental sequencing data (metagenomes, amplicons, long
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ATAC-seq, single-cell RNA-seq, spatial gene expression, and whole-genome sequencing (with long reads) data. The candidate will get the opportunity to explore new analysis methods using deep learning
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university-wide administrative teams, serving as a critical link across multiple stakeholders and ensuring seamless operations at every level. Your success will rely on your ability to manage details while
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on the applicant’s profile and project alignment. Job description We are seeking highly motivated postdoctoral researchers to join the interdisciplinary research project on CO2 to food, which aims to develop
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Associate Professor or DTU Tenure Track Assistant Professor (junior group leader) in Fermentation...
with international partners to align experimental designs, protocols, and data standards across institutions and scales. This collaboration will support the generation of coherent, high-quality datasets
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Associate Professor (Independent Group Leader) in Data Science and Modelling of Whole-Cell Biosol...
and collaborate closely with the Global Fermentation and Agronomy science teams to ensure alignment in experimental design, data formats, and analysis protocols. This coordination is key for IBIS