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patient-derived xenografts and genetically engineered mouse models to inform better therapies. Key Responsibilities Design and conduct experiments investigating the role of epigenetic regulators in
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optical actuator Design and fabrication of high-performance soft optical actuator Design, modeling, and scalable manufacturing of miniature, highly integrated fiber actuator Demonstration of multifunctional
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integrates innovative oceanographic, biogeochemical, ecophysiological, and model-based investigations. The main research objective is the exploration and quantification of non-photosynthetic sources of oxygen
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techniques (e.g. explainable, ethical, empathic and agentic AI), natural language processing (NLP), large language models (LLMs), data science methods, and mHealth to analyze large-scale, multidimensional, and
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xenografts and genetically engineered mouse models to inform better immunotherapies for treating high-risk neuroblastoma. Key Responsibilities Design and conduct experiments investigating the role
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facilities. Skills/Qualifications PhD in microbiology, molecular biology, or related field Strong experience in bacteriology and molecular mechanisms of pathogenesis Previous experience with insect models and
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motivates you to apply for this position? What is your experience in analysing insurance claims data or big data? What is experience/knowledge in trajectory modeling? For a fair recruitment process, please
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develop data flows and methods for utilizing the data in simulation models. We are particularly keen to appoint a data-savvy researcher with strong Python and SQL skills to lead data integration, curation
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studying the disruption of calcium homeostasis in the setting of cardiac and neuronal damage. Studies underlying molecular signaling. Utilizes approaches including the extensive use of mouse models
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Models for Multi-Modal Reasoning This project explores the integration of graph-based foundation models (e.g., knowledge graphs) with large language models (LLMs) to build AI systems capable of reasoning