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Amrit Kaur Purba (Principal Investigator), and interdisciplinary collaborators, they will lead on human annotation, codebook development, multimodal embedding generation, model training and refinement
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dysfunction. We combine genetic, molecular, and physiological approaches to identify and dissect the pathways that mediate these effects. The successful candidate will conduct original research using the model
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Reinforced Concrete (RC) substructures. Key Responsibilities: Simulate RC substructures under different boundary conditions. Design and fabricate test models. Develop algorithms for anomaly detections. Publish
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 1 day ago
regression, principal component analysis, and artificial neural networks — to determine optimal modeling frameworks for high-dimensional in vitro data generated by platforms such as organ-on-a-chip systems and
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. This interdisciplinary initiative connects agentic AI framework design, large language models (LLMs), and interactive digital twins with real-world municipal decision-making. The project focuses on deploying auditable
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therapy Conduct in vitro and in vivo studies, including mouse models Collaborate closely with lab members and local, national, and international collaborators Maintain clear, transparent, and reproducible
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; data analysis; modeling; statistics and machine learning; scientific simulation; or theoretical astrophysics. COMPENSATION AND BENEFITS The full-time annual compensation for this position is $95,000. In
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may include but are not limited to: algorithm and software development; application or development of computational or statistical methods; data analysis; modeling; statistics and machine learning
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the soil-water-plant-air continuum using process-based models. You will learn how to take proper soil, plant and air samples that influence carbon and nitrogen dynamics and learns how soil and plant
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, and problem-solving in multi-agent settings. Develop a theoretical model that explains how human–AI teams engage in co-creative processes. Develop a set of applied resources (e.g., guidelines, workshop