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disease. Experience in, cardiomyopathy, cellular senescence, cilia biology, PKD, and/or bioinformatics, particularly single-cell and spatial transcriptomics, is desirable but not required. The ideal
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modalities, spatial scales, and diverse populations. Position Highlights Work with cutting-edge multimodal concurrent stimulation-recording datasets spanning iES, TMS, iEEG, single-unit, and fMRI. Study causal
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16 Jul 2026 Job Information Organisation/Company Gdańsk University of Technology Department Faculty of Architecture, Departrnent of Spatial Planning Research Field Geography » Social geography
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) and spatial transcriptomics on CRC patient samples, we have identified novel epithelial cell states and distinct cancer-associated fibroblast (CAF) subpopulations. The postdoctoral fellow will work
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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
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experimental studies with insights from human populations. We use single-cell and spatial genomics, epigenomic profiling, microbiome analysis, and large-scale human datasets to uncover biological principles in
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advancing the next generation of spatial single-cell omics technologies for precision medicine. Bringing together leading European universities, technology providers, clinical partners and innovative
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students; major areas of focus include providing expertise in the application of spatial technology workflows for slide preparation and analyzing spatial and sequence data, collaborating with investigators
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evaluation framework covering statistical fidelity, temporal and spatial structure, physical plausibility and downstream task performance (e.g. train-synthetic-test-real forecasting). You will collaborate with
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Associate I, Immunobiology Posting Number req26998 Department Immunobiology Department Website Link https://immunobiology.arizona.edu/ Location Tucson Campus Address 1501 N. Campbell Ave., Tucson, AZ 85719