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, the successful applicant will analyze integral-field spectroscopy (IFS) data of starburst galaxies, with a primary focus on the spatially resolved star formation history and on the physical properties
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analysis of in situ measurement data and spatial remote sensing data - Participation in the scientific supervision of students - Participation in national and international mobility programs The project is
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or treatment of Alzheimer’s disease. Position Lead and conduct the processing and statistical analysis of large-scale long-read RNA and DNA sequencing, single nuclei RNA sequencing and spatial transcriptomics
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commitment to growing with us. Your Tasks Expertise and Methodological Development Establish, optimize, and expand workflows for spatial omics technologies, from sample preparation through analysis to data
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which investigates and develops a new plural valuation assessment framework combining approaches such as natural capital accounting, cost-benefit analysis, participatory mapping, and multi-criteria
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successful candidate will have one or more of the followings: Expertise in spatial transcriptomics (single-cell RNAseq). Expertise in imaging and image analysis. Experience with genetic engineering (plasmid
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analysis, and spatial -omics. An ability to learn new skills, take initiative, attention to detail, and conceptualize data is essential. More details of the Foltz lab can be found here: https://jfoltzlab.org
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analysis pipelines and to integrate imaging data into computational models. It is an opportunity to work with research groups across the Cell-Matrix Centre and the Bioimaging Facility. The appointee will be
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expected to work with Professor Riccardo Sapienza and our experimental collaborators to develop experiments in the field of metamaterials that vary in space and time. More details at https
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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