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are seeking a Research Scientist specializing in Machine Learning, Data Science, Data Harmonization, and Synthetic Data Generation to lead the integration, standardization, and privacy-preserving algorithmic
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About the Opportunity Job Summary: Northeastern University’s Office of the Registrar operates a federated network service model that serves 66,000 students - degree, non-degree, and continuing
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investigating disease mechanisms and the effects of novel therapeutic compounds using human induced pluripotent stem cell (iPSC)-derived neuronal models. The post holder will be responsible for planning and
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advanced experimental models to investigate these processes. The work integrates human cell-based models, advanced 3D multicellular systems, molecular and functional characterization, and omics-based
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Fruk (Department of Chemical Engineering and Biotechnology) and delivered to AT2 cells, using human alveolar organoids as the primary in vitro model. Working with the AstraZeneca team, drug selection
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are preferred: Direct research experience with the cardiac metabolism research. Experience with mouse models and echocardiographic/hemodynamic phenotyping. Proficiency in standard molecular and biochemical
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integrations that extend the functionality of AI assistants and connect them to external applications, APIs, and institutional data sources. Familiarity with Model Context Protocol (MCP) and related standards
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): measure key parameters such as luminosity and nickel masses for thousands of transients from TiDES + follow-up data to build population demographics, and use hundreds of live TDEs and thousands of host
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design authority for the university’s identity target state. The position defines identity architecture, standards, source-of-authority decisions, lifecycle models, federation strategy, authorization
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ecosystem recovery. We aim to develop state-of-the-art, modular, scalable and adaptable solutions that set a new standard in estuarine and riverbank protection. The project brings together research and