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Field
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Physics, Spectral Theory, Quantum Chaos, Large Graphs and Quantum Walks. Related areas such as Quantum Information can also be considered. This position is offered through the research funds of Mostafa
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systems architecting AI/ML-driven clinical and operational decision support Digital health and learning health systems Healthcare operations, resource allocation, and workflow optimization Network, graph
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-relational technologies such as SQL/PLSQL, MongoDB and graph databases (e.g., Neo4J). Proven experience in design and development of networked applications and distributed systems. Knowledge of computer
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systems • Healthcare operations, resource allocation, and workflow optimization • Network, graph, and agent-based modeling for care delivery • Health equity, patient access, and system resilience • Multi
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Graph neural networks Generative models (VAEs, diffusion models) Multi-modal learning Knowledge of bioinformatics tools and data formats (FASTQ, BAM, VCF, H5AD, AnnData, Seurat, etc.). Experience with HPC
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ability to bring these tools to bear on problems in data analysis and complex systems. Experience designing and implementing mathematical measures of complex systems, ideally on graph- or simplicial-complex
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, graphs, photographs, figures, and manuscripts for papers, meetings, and for publication in journals. Prepare slides for presentation at scientific conferences and meetings. Assist with research grant
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, for their analysis and optimization, we use tools such as artificial intelligence/machine learning, graph theory and graph-signal processing, and convex/non-convex optimization. Furthermore, our activities
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critical thinking and problem-solving skills. Outstanding presentation skills. Experience in graphing, statistical analysis and data management skills. Proficient in Word, Excel, GraphPad, Adobe Photoshop
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Postdoctoral Positions for Computational Genomics, Cancer Genetics, and Translational Cancer Biology
immunotherapies, integrating graph neural networks, regulon-aware pooling, and transfer learning with biological regulatory networks. 4) Developing and validating computational biomarkers (IGR burden, TAA burden