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for high-dimensional dependent data, and data sketching approaches for massive data. Opportunities to Contribute: Develop statistical/machine learning methodology for multi-modal imaging data integration
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Yale Analog and RF Circuits and Systems (ARCS) Research Group, Department of Electrical and Computer Engineering, Yale University The Analog and RF Circuits and Systems Research Group in
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, quantitative imaging, molecular mechanisms regulating cell migration and work independently and as part of team. Will develop protocols, quantitative image analysis pipelines, training and education materials
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, the postholder will analyse imaging datasets acquired from mice performing analogous behavioural tasks, thereby revealing mechanisms that underpin flexibility at the cellular level. This research forms part of Dr
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curious to deliver work that matters, your journey starts here! The Department of Electrical and Computer Engineering (ECE) ranks among the best in the country. Our research programs are at the forefront
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, scientific, and regulatory steps required to translate in vitro molecular hits into small animal preclinical evaluation models. Processing and integrating complex transcriptomic, proteomic, and image-based
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engineering (CRISPR/Cas9, Gal4/UAS), including the generation of genetic tools in non-model Drosophila species; single-cell genomics (scRNA-seq and single-cell ATAC-seq); in vivo functional imaging (two-photon
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Posting Details Position Details Title Postdoctoral - Neurological Surgery (Naikui Liu Lab) Specific Title Appointment Type Postdoctoral Fellow Department IUSM - Neurological Surgery Campus IU
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therapeutic strategies to prevent and treat craniofacial birth defects, as well as stem cell-based craniofacial regenerative medicine. CCMB is located on the Health Sciences Campus of USC, which provides a
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laboratory experiment design, equipment operation, or experimental system development. Ability to independently plan, conduct, troubleshoot, and document laboratory experiments. Strong written and oral