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, graph-based models, variational autoencoders, or physics-inspired computational approaches. Familiarity with genomics, single-cell genomics, or spatial omics data analysis. Experience using
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applied mathematics, theoretical computer science, probability and statistics, and mathematics education. See https://mscs.uic.edu/ for more information. Applications are invited for one Tenure Track
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learning methods • Analyzing and integrating large-scale biomedical datasets, including omics, pharmacogenomics, medication, drug database, ontology, knowledge graph, and clinical molecular data
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, Microsoft Word, Microsoft PowerPoint, Microsoft Outlook Required Other Computer Applications: Graph Pad Prism Required Additional Knowledge, Skills and Abilities: Knowledge of research methodology and
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, Microsoft Word, Microsoft PowerPoint, Microsoft Outlook Required Other Computer Applications: Graph Pad Prism Required Additional Knowledge, Skills and Abilities: Knowledge of research methodology and
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Microsoft 365 data services. • Comfortable working with PowerShell and automation technologies in cloud environments, including Azure Functions, Azure Automation, Microsoft Graph, and Power Platform
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Microsoft Graph where appropriate. • Continuously look for opportunities to simplify and improve security operations. Collaboration and continuous improvement • Support colleagues with complex security
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networks for image analysis; Experience with graph-based methods, and graph convolutional/neural networks; Experience with explainable and interpretable AI (XAI). Rules governing PhD students are set out
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discovery Bioinformatics/protein engineering/single-cell RNA sequence analysis Machine learning/deep learning Computational topology/geometry/graph. Research Associates will be affiliated with Professor
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, LSTMs) with applications in industry. Knowledge/courses taken on estimation theory, network modeling, and graph theory are a plus. Excellent coding skills in python, ROS, and ML pipeline experience on