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H. Lee Moffitt Cancer Center & Research Institute | Tampa, Florida | United States | about 2 months ago
microenvironment, and further reprogram the T cells to such states. We use patient-derived samples, genetically engineered mouse models, along with state of the art molecular methodologies, including transcriptomics
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New York University Grossman School of Medicine (Torres-Vázquez lab) | New York City, New York | United States | 2 months ago
as a model system. The successful candidate will join a dynamic research environment and contribute to innovative projects at the interface of developmental biology, genetics, and disease modeling
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, Sustainability, Environment, and Health—complemented by interdisciplinary Interest Groups, serving as catalysts for emerging ideas. This dynamic structure makes our School an exciting place to work and collaborate
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encompassing data-driven electrolyte screening, molecular dynamics simulations, and experimental validation to bridge the gap between AI predictions and practical battery performance. The optimized electrolyte
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Engineering (Ref: ) We now invite applications for the captioned post. Duties and Responsibilities Develop a detailed research plan encompassing data-driven electrolyte screening, molecular dynamics simulations
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(RVFV). With mentor guidance, you will plan and execute complex experiments to study viral replication, pathogenesis, and transmission dynamics. Using a multidisciplinary approach, you will use or enhance
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Alzheimer’s disease. The successful candidate will join a dynamic and collaborative research environment focused on uncovering the cellular and molecular mechanisms driving cognitive decline and
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neurodegenerative disease. Through this systematic view, we seek to answer fundamental questions in cell biology and biochemistry: What are the molecular pathways that contribute to organelle repair in response
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The Institute for Digital Molecular Analytics and Science (IDMxS), officially launched on 1 December 2022, is a Research Centre of Excellence (RCE) supported by a total investment of around S$160
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post-harvest management practices, and develop methods to rapidly evaluate grain quality, using a combination of cutting edge tools, such as chemical ecology, molecular biology, and genomics