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of collaborators in ecology, envi-ronmental genomics, pollinator biology and biodiversity monitoring. Key Responsibilities The post doc will: Design and coordinate large-scale field studies across multiple seasons
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understanding of early metabolic dysfunction. To achieve this, we integrate data across multiple biological scales, from genetic variation and single-cell molecular profiles to clinical phenotypes collected in
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cell culture. CRISPR/Cas9 genome engineering. Fluorescence microscopy. Next-generation sequencing. Bioinformatics. Mouse models or embryology. Above all, we are looking for a curious, motivated
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take approaches combining mouse developmental genetics, cell-type-specific viral tracing, ex vivo electrophysiology, opto/chemogenetics, in vivo imaging, single-nucleus RNA sequencing (snRNA-seq), and
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of adipogenesis Experience with chromatin conformation methods (e.g., Hi-C, Micro-C or related approaches) Experience with genome-wide and chromatin architecture-related techniques (e.g., sequencing-based assays
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differentiation (ideally mouse ESCs), single cell sequencing, method development, flow cytometry/FACS, and/or CRISPR-based perturbations, data analysis. Theoretical background in epigenetics and embryonic
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including bio-informatic processing To have experience with nucleic acid molecular manipulation incl PCR and experience in next generation sequencing -primarily on the illumina platform. To be eager to learn
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for model development, both quantitative data and sequencing data, covering Denmark and selected European countries Place of work and area of employment The place of work will be at Aarhus University
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for downstream sequencing and imaging. Performing MALDI mass spectrometry and spatial transcriptomics to characterize biological niches within mouse and human tissue samples. Performing quantitative imaging
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students to analysing multimodal learning data (e.g., individual as well as collaborative verbal interactions, student gestures, task and activity sequences) and evaluating long-term learning outcomes. As