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including sc/snRNA and spatial transcriptomics, patient-derived models, systems biology and AI platforms Opportunity to obtain a PhD within the U Strasbourg MD-PhD program Tenure track program at Inserm and U
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computational analysis of functional genomics datasets with an emphasis on single-cell omics. This person will develop new computational methods to analyze novel RNAseq, ATACseq, and Spatial Transcriptomics
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research teams. Responsibilities: Develop and apply AI-assisted weather and climate models with high spatial and temporal resolution. Integrate remote sensing, observational, and numerical model datasets
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, spatial and temporal image data trustworthy AI for sensitive and distributed data, including privacy-preserving and federated learning, uncertainty quantification, and efficient real-time inference in
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and organoid platforms, genome engineering technologies, advanced microscopy, spectral flow cytometry, single-cell and spatial genomics, proteomics and biomarker laboratories, and high-performance
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bioinformatics research focused on cancer epigenomics, gene expression, single-cell and spatial omics, and metabolomic data analysis. Develop computational tools, apply AI and machine learning approaches
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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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spatial and temporal resolution. Build a system modeling framework to evaluate the deliverability of large-load projects, including interconnection, capacity, and infrastructure constraints. Design, build
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plantings (e.g., hedgerows, windbreaks, riparian restoration) in Canadian agricultural landscapes. The Postdoctoral Research Fellow (PDF) will support the Spatial Science/Synthesis component of the project
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spatial and remote sensing data for surveillance for zoonotic and vector-borne diseases across Southeast Asia. This position offers the opportunity to work on ground-breaking research projects in the broad