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organization within the tumor microenvironment. We use spatial transcriptomics and spatial proteomics, advanced image analysis, and computational approaches to investigate molecular and cellular
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scientific computing, image analysis and research infrastructures, you will collaborate closely with scientists, software engineers, beamline scientists and computing specialists across the European
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develop methods within one, or multiple, of the following categories: Optical engineering, fluorescence microscopy, image analysis: Development of microscopes, fluidics, and data
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and image analysis, in collaboration with the beamline team and other internal resources. Drive your own research program, within national and international collaborations, focused on focused on
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computational component and will include advanced deep learning methods for image analysis and genomic data integration to identify molecular programs associated with different functional cell states
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transparent coding protocols, computational methods, and careful validation. The resulting data will support research within OCCPOL and will be documented for wider scholarly use. The postdoctoral fellow
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requirements include very good understanding of statistics and biomarker analyses and modelling, coding experience (Python/Matlab/R/Bash etc.), excellent written and spoken English skills, experience
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desirable. - Excellent publication record relative to career stage, with at least one first-author paper involving quantitative or image-based analysis. - Strong problem-solving skills, ability to work
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resonance imaging (fMRI) at the Center for Medical Image Science and Visualization (CMIV). MRI-compatible stimulation equipment is being installed at CMIV in autumn 2026 as one of the first set-ups of
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previously non-coding DNA rather than being inherited from an existing gene during the course of evolution. They are important because they can introduce new functions and contribute to the evolution