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://pritykinlab.princeton.edu) develops computational methods for design and analysis of high-throughput functional genomic assays and perturbations, with a focus on multi-modal single-cell, spatial and genome editing
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image analysis to extract cellular morphology and spatial features. Analyze multi-modal datasets combining transcriptomics, chromatin accessibility, imaging, and electrophysiology. Develop and apply
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including a flexible and pragmatic approach. Desirable: D1. Skills in RNA sequencing analysis, single-cell and spatial transcriptomics D2. Skills with bioinformatic analyses. For Appointments at Grade 7
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image analysis to extract cellular morphology and spatial features.Analyze multi-modal datasets combining transcriptomics, chromatin accessibility, imaging, and electrophysiology.Develop and apply machine
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The Energy Systems Analysis Group (https://acee.princeton.edu/research/energy-systems-analysis-group/) at the Andlinger Center for Energy and the Environment invites applications for postdoctoral
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to capture the spatial complexity of tumor organization and its relationship to treatment response. This PhD project aims to develop robust multimodal predictive models of platinum resistance using a large
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members, including postdoctoral fellows, PhD and master’s students, and technical staff. We are equipped with state-of-the-art infrastructure, encompassing a comprehensive preclinical laboratory at
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enamel, dental mesowear, mandibular morphometry, dental microwear textures) and GIS spatial analysis to explore their ecologies and identify the impact of structuring territorial features. The results will
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assistants in experimental or analytical workflows. Qualifications PhD in Computational Biology, Genomics, Biomedical Engineering, Neurosciences, or related fields. Proven expertise in single-cell or spatial
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sequencing and spatial transcriptomic data analysis* Strong track record of research as evidenced by publications in referred journals* Strong written and oral communication skills as evidenced by data