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researcher interested in conducting cutting-edge research on the molecular and neural circuit mechanisms underlying early-stage Alzheimer's disease and related neurodegenerative diseases. The laboratory
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neurodegenerative diseases and a background in cellular and molecular biology, neuroscience and metabolism. Additionally, the successful candidate will have an interest/expertise in developing novel cellular/tissue
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, Ph.D. This position is designed to recruit two highly motivated postdocs with a strong background in molecular biology or virology to support studies on Epstein-Barr virus (EBV) oncology. Individuals
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-scale screens to study fundamental principles in molecular and complex trait genetics using microbes as model systems. Our core technology MAGESTIC (https://doi.org/10.1038/nbt.4137 ), a CRISPR/Cas9-based
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-on experience in advanced cell culture techniques and in vivo models. Proficiency in various cell and molecular biology experimentation techniques like PCR, gels, Western blotting, Immunohistochemistry, ELISA and
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translational research. Experience with mouse or rat work is highly desired such as microsurgery (rodent spinal cord injury model), tissue harvesting, and behavioral tests. Previous experience in neuroscience
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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | 29 days ago
tumor suppressor and complement inhibitor CSMD3. The successful candidate will join a dynamic and collaborative team dedicated to advancing the molecular understanding of cancer development and
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bioinformatics, and statistical modeling to decode the complex molecular mechanisms that shape human vision. By leveraging high-dimensional data and cutting-edge computational analyses, we aim to uncover
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will develop innovative and generalizable methods and tools that can be applied to the in-house molecular data in pediatric cancers, such as pediatric CNS tumors and leukemias. St. Jude leads the largest
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machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to process scales, develop model-predictive control and optimization strategies, run