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modelling. References/further reading Wang, X. Q. et al. Spatial predictors of immunotherapy response in triple-negative breast cancer. Nature 621, 868-876 (2023). Danenberg, E. et al. Breast tumor
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developed mouse models and human tissue processing pipelines. The candidate will learn and use cutting edge immunological methods (high parameter flow cytometry, multiplex imaging, single cell and spatial
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on single-cell and spatial genomics data, from sequencing and imaging, and apply them to human developmental and disease biology. Possible research directions include: ● Generative models of cell–cell
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successful candidate will also contribute to experiments. Where to apply Website https://www.academictransfer.com/en/jobs/364062/phd-position-in-soft-matter-mod… Requirements Specific Requirements We
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heavily on mouse models, willingness to work with mouse models throughout the PhD is essential. Prior experience in a laboratory or industry research environment is required. Experience with tissue culture
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of Sustainable Development at Utrecht University. Where to apply Website https://www.academictransfer.com/en/jobs/363888/phd-spatial-optimization-of-lan… Requirements Specific Requirements We are looking
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that looks plausible but violates physics and is therefore of limited use for grid planning. As a PhD candidate you will develop physics-informed, domain-constrained generative models for energy-system data
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) Positions PhD Positions Application Deadline 30 Nov 2026 - 00:00 (Atlantic/Reykjavik) Country Iceland Type of Contract Temporary Job Status Full-time Hours Per Week 40 Is the job funded through the EU
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The candidate will develop and benchmark zero-shot multimodal fusion models for rare disease prediction, using melanoma as a use case. The project integrates spatial and single-cell multi-omics data with
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prediction Integrating various types of spatial single-cell data, such as gene expression and protein expression data Developing image analysis methods for histopathological specimens using AI-based models As