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: to develop next-generation autonomous crop monitoring and decision-support systems for Controlled Environment Agriculture. By integrating plant sensing, data and crop models, we aim to enable more precise and
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scales from microchannels to full rack systems (5.) Develop physics and AI-based models to elucidate physics, perform optimization, and create surrogate models for system level simulators (6.) Participate
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preclinical models and retrospective human MTLE datasets. Apply complex signal-processing approaches to analyze animal and human intracranial EEG. Develop and implement computational network analyses
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models for multiple chronic diseases in real-world data and cohort studies. To successfully work in this position, experience of data-driven analytical approaches, machine learning and advanced
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forming fundamental challenges. Physics-based models are too complex, while pure data driven models lack explainability, ultimately reducing the robustness. The proposed solution is the development of a
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About the Opportunity Postdoctoral Associate – Gene Therapy and Transport Modeling Bajpayee Lab at Northeastern is seeking an exceptional Postdoctoral Associate to lead high-impact research in
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 16 days ago
inform representations and encoder adaptations. This activity will provide hands-on experience in making three-dimensional vegetation structure accessible within data-driven geospatial modeling processes
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research environments in Computational Science, the research and education has a unique breadth, with large activities in areas such as numerical analysis, mathematical modelling, development and analysis
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; collaborating with municipalities, urban planners, designers, and residents in model co-creation and validation workshops; contributing to the development of an interactive, publicly accessible web interface (e.g
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peptide/protein therapeutics or cardiovascular drug development • Experience mentoring students in a collaborative research environment Preferred Qualifications • Development and application of AI-driven