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to high-dimensional omics datasets. Familiarity with transcriptomic analysis tools (e.g., Seurat, Scanpy, DESeq2). Experience with spatial transcriptomics and multi-modal data integration is highly
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to high-dimensional and multi-modal biomedical data. Causal Inference, Fairness, and Trustworthy AI in real-world healthcare applications. Our group actively collaborates with large national and
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skills in general and a taste for meticulousness are essential. In parallel, interest for soft matter concepts and modelling will be of help to interpret the data. Experience in data analysis (including
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, multi-modal data integration, and large-scale clinical and community-based research. Postdoctoral researchers will conduct data analysis, prepare and submit first-author manuscripts for peer-reviewed
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complex materials systems. Advanced data analysis and scientific model development using Python or other scientific programming languages, including experience with automation, instrumentation control
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interfacial processes in complex materials systems. Advanced data analysis and scientific model development using Python or other scientific programming languages, including experience with automation
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Learning for Medical Imaging and Multi-Modal Data in Cancer Research Apply for this job See advertisement About the position Position as PhD Research Fellow in Deep Learning available at the Department
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efficiency, material response, and system performance. Development and optimization of optical, magnetic, or multi-modal control strategies. Execution of in vitro and ex vivo evaluations to assess microrobot
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program focuses on AI-driven analysis of multimodal neural data, in close collaboration with leading experimental neuroscience groups at UBC and internationally. Project Recent advances in neuroscience have
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and assess reproductive quality in fish, the performance of experimental work, and data analysis. These activities aim to develop new tools in fish reproductive biology by studying environmental factors