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: Analysis and interpretation of high-resolution single-cell RNA-seq and scATAC-seq data to elucidate cellular processes Processing and integration of spatial transcriptomics data to reveal molecular patterns
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in transcriptome sequencing and analysis will be preferred. Prior experience in electron microscopy or mass spectrometry is advantageous but not required. Strong writing skills with a proven track
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in transcriptome sequencing and analysis will be preferred. Prior experience in electron microscopy or mass spectrometry is advantageous but not required. Strong writing skills with a proven track
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analysis of large unstructured volumes of data You independently conduct user studies in the lab and online You write scientific publications, hold presentations at international conferences, and offer
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, or a comparable field Experience in handling mouse models and basic surgical techniques Knowledge of omics data analysis (e.g., single-cell genomics) Experience with advanced imaging and microscopy
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analysis of legal, regulatory and governance settings. Functional Digital Twins are envisaged to support local implementation and scaling of climate adaptation measures. The investigator group will work in a
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Establishment of new methods and sample preparation strategies Preparation of human and murine samples Coordination of co-operation projects Independent data processing and analysis Publishing on the research
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validated on a wastewater recycling pilot plant. Suitable methods for process analysis and characterization will be extended and the chemical-physical relationships will be studied using molecular and
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and numerically. Particle stability analysis: Investigate mechanical stability of crystals and adsorbents under process conditions. Mechanical stress often causes abrasion and breakage, limiting
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driving sex-specificity in tumorigenesis, organismal development, and spatial biology of the liver. To do so, we intersect large-scale genetic analysis utilizing experimental models with spatial and single