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to lead impactful research at the interface of aging biology, neurodegeneration, and spatial omics. The successful candidate will contribute to high-profile projects investigating the cellular and molecular
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of metabolic states in retinal ganglion cells; spatial transcriptomic and correlated metabolic analysis of retinal ganglion cells; treatment of retinal ganglion cells in models of degeneration; data collection
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EV in vivo tracking studies, spatial transcriptomics, imaging mass-cytometry, micro-CT imaging and experimental fetal lung models to address key questions in lung development and repair. This position
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Driver's License: A driver's license is not required for this position. More About This Job Required Qualifications: A PhD in Genetics, Bioinformatics, Computer Science, Data Science, Statistical Genomics
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control subjects, and pregnant patients, and analysis of continuous time series data including signal processing, feature extraction, and statistical analysis. In addition to high-quality research
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qualification in Genetics, Bioinformatics, Computer science, Data science, Statistical Genomics or a related discipline involving the interrogation of ‘omics’ datasets. Hands-on experience with large-scale human
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statistical approaches. Prepare scientific manuscripts and present research at relevant venues. Mentor and train other lab members. Participate in lab meetings and departmental events. Career development
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around September 1, 2025. The postdoctoral position is for 1 year with the option for extension based on performance and funding availability. The GrandPre group focuses on non-equilibrium statistical
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Operations, Laboratory Techniques, Linux, MATLAB, MRI Analysis, Oral Communications, PET/CT, Python (Programming Language), Researching, Results Reporting, Scientific Writing, Statistical Analysis, Unix
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publication record demonstrating independent research ability. Proficiency in one or more of the following: next-generation sequencing analysis, statistical genetics, genome editing, or functional genomics