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diagnostics, and carbon nanomaterial synthesis. This is a highly collaborative role involving close interaction with industrial sponsors, academic collaborators, technical staff, and PhD students
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complex endometrial models and optimizing in vitro implantation assays. Culturing human embryos and generating stem cell-based embryo models. Tissue sectioning for advanced spatial transcriptomic analysis
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interventions to mitigate the harmful impacts of environmental change. The position is geared for a recent PhD graduate with interest in collaborating across disciplines, and expertise in remote sensing, spatial
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QUALIFICATIONS: PhD in computer science, electrical/biomedical engineering, statistics, applied mathematics, or a related field. Strong track record in machine learning/deep learning with imaging data