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that leverage the immunosuppressive properties of Tregs. The successful candidate will provide lab-based functional validation of scRNA-seq and spatial transcriptomic findings, translating these into clinically
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. This 4-5-year project is supported by an NIH R56, the HNC SPORE, and other research funding. The postdoc will investigate the spatial and functional relationships between intratumoral bacteria and immune
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, including scRNA-seq, spatial transcriptomics, methylation profiling and integration of molecular data. Experience in translational biomarkers, target-engagement studies (PD), analysis of human biological
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and as postdoc you would help us tackle core challenges of the project, in particular: Understanding fundamentals of eye movements and their implications for multimodal interaction Design of spatial
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» Biodiversity Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Positions Postdoc Positions Application Deadline 18 Sep 2026 - 23:59 (Europe/Berlin) Country Germany Type of Contract
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, cell biology and gas-exchange physiology. Within the research unit “Cereal Stem Cell Systems - RU52350; https://cerealstemcells.de ”, we are recruiting a Postdoc to investigate how grass leaves spatially
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postdoctoral 50 Faculty of Life Sciences Job vacancy starting: 01.11.2026 | Working hours: 40.00 | Classification CBA: §48 VwGr. B1 lit. b (postdoc) Limited contract until: 31.10.2029 Job ID: 6186 A three
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, PCD, and COPD). Yu lab utilizes human donor lungs, pig and mouse models, organoid culture, and single-cell and spatial transcriptomics to understand how inflammation and disease progression remodel
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 2 days ago
/neuroendocrine research Experience with immunohistochemistry, RNAscope/in situ hybridization, metabolic phenotyping, or spatial molecular approaches Experience with single-cell/single-nucleus genomics and/or
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model validation. Strong Python skills, experience with deep learning frameworks such as PyTorch, and tools for processing complex and/or spatial data. Initial experience in teaching, workshop