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technologies, computational genomics, functional assays, and integrated data analysis. We are seeking a highly motivated Postdoctoral Researcher who shares our passion for solving foundational problems in human
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and staff, and providing support in applying for additional research grants. There is also opportunity to conduct analyses of already-collected data. This position has availability for onsite or remote
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research on helminth parasites, to assist in clinical trials for river blindness treatment, and to manage large data sets. The successful applicant will have experience in data science and in infectious
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data and high-throughput, multi-dimensional -omic data to study neurodegeneration and diseases of the central nervous system, with an emphasis on Alzheimer disease, Parkinson’s disease, and other
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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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(or similar) data analysis. The candidate will work closely with an international team led by Dr. Kristin Braziunas and Prof. Brian J. Harvey at the University of Washington and Dr. Judit Lecina-Diaz
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accuracy in link-tracing designs (e.g. Respondent driven sampling) Partial graph data collection strategies for networks (e.g. Aggregated Relational Data) Large scale models for anomaly detection on graphs
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to agricultural development in sub-Saharan Africa (SSA) and South Asia (SA), including small-scale producers, gender, nutrition, climate, food system risks and digital financial services. For more information about
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responsible for fabrication, characterization (both electrical and acoustic) and pre-clinical implementation (as part of a team performing both ex-vivo and large animal in-vivo studies) of catheter-based
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industrial engineering, systems engineering, computer science, electrical engineering, or a related field. · Strong background in machine learning or data analytics and hands-on experience handling big