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methods (e.g., fluorescence, reflectance, or label-free modalities). Collaborate on development and optimization of imaging instrumentation and workflows. Perform tissue preparation, imaging, and data
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, or multi-modal learning that integrates structured EHR and biomarker data. The fellow will have access to curated oncology datasets, high-performance computing infrastructure, and mentorship from a cross
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‑spectroscopy microscopes housed in the CPMM core facilities. Collaborate closely with CPMM teams across partner institutions and companies; share reagents, data, and expertise to drive center‑wide milestones
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of understanding how these processes influence development and disease states. The selected candidate will design and conduct experiments, analyze data, and contribute to scholarly publications while developing
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and collaborative environment for research. For more information regarding projects in the laboratory, please visit: http://www.pedsresearch.org/research-group/melikian-lab and http
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ex vivo infection models. Proficiency in data analysis and visualization tools, including FlowJo and GraphPad Prism. Interest in mentoring trainees and contributing to a collaborative research