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Field
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Carry out data analysis of spatial transcriptomics data (including integration of publicly available single-cell RNA sequencing datasets from coronary plaques) using computational analysis Analyse
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augmentation. Experience applying deep learning methods to biological sequence or other omics data. Demonstrated rigor in model evaluation and experimental design, including selection of appropriate baselines
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systems for aligning real-world health data to standards like OMOP CDM, FHIR, and UMLS Agent-based workflows that explain, refine, and adapt semantic mappings over time Hybrid architectures that combine
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research, including the flexibility to change or expand their research focus and to work with multiple research groups while at the University. This program is part of a vibrant and growing AI and science
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datasets, including RNA-seq, ATAC-seq, ChIP-seq, and single-cell or single-nucleus sequencing data. · Present research findings at laboratory meetings, scientific conferences, and national
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to the creation of knowledge by developing a platform technology for the rapid generation of reagents that recognise diverse nucleic acid sequences and structures with high affinity and selectivity using mirror
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, western blotting, cloning, and other standard techniques in molecular and cellular biology. Use sequencing-based and functional genomics approaches to characterize leukemic cells, immune cell populations
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architecture of complex traits. We develop computational and statistical methods for sequencing studies. We also have projects in cancer genomics and applied human genetics. The lab encompasses a wide range of
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generative protein design, directed evolution, next gen sequencing, and laboratory automation to develop B12-dependent enzymes or artificial metalloenzymes containing different organometallic cofactors for new
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for genome sequencing data to enhance our understanding of disease processes including cancer and brain-related diseases. Areas of interest include: Identification of mosaic mutations in non-tumor cells and