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? Experience with AI coding tools (e.g., Copilot, Cursor) Preferred extras ? M.S. or graduate-level degree in relevant field ? Experience with single-cell and spatial genomic or imaging data, and multimodal
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to apply Website https://www.academictransfer.com/en/jobs/355829/postdoc-reverting-soil-sealing-… Requirements Specific Requirements You have a PhD in Geography, Spatial planning, Urban studies or a related
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networks driving aging and inflammation using cutting-edge molecular and genomic technologies. The project integrates single-cell and spatial transcriptomics, epigenome and whole-genome sequencing, and
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of cellular aging, resilience, and fibrosis. Responsibilities Develop and implement analytical pipelines for large-scale single-cell, spatial, and multi-omics data integration Build and apply machine learning
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22 Oct 2025 Job Information Organisation/Company National University of Science and Technology POLITEHNICA Bucharest Department Department/Centre/Lab/Project Research Center for Spatial Information
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to national environmental and climate goals as well as to the Sustainable Development Goals. We are situated at Campus Ultuna in Uppsala and in Skara. Read more about the department here (https://www.slu.se/en
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Pest Management in The Western U.S.' (https://ai4sa.ucr.edu/ ). The overall goal of this project is to develop advanced tools for early stress (abiotic and biotic) detection and decision support for crop
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are professors. Our mission is to advance the understanding of forest ecosystems and how these should be managed today and in the future. For more information: http://www.slu.se/en/departments/forest-ecology
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interpersonal and communications skills. Qualifications Mandatory: PhD in related field Desirable: Experience in spatial analysis, proteomics. Please Note: Appointment to this position is subject to passing a
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biomolecular chemistry techniques. Evaluation of biological behavior in cell models through cell culture, flow cytometry, and biocompatibility assays within the framework of the ERC-STG SPACING (SPAtially