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for the conceptual framework, design, and implementation of these machine learning models, ensuring trustworthy computations and scalability on the DOE’s leadership computing facilities. The focus will be
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. They come in various configurations, from simple, conceptual lumped models to more complex, distributed ones. Their low input data requirements and flexible application make them widely used by water managers
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of the primary objectives of the ITC is to integrate conceptual theory with computational modeling. We are, therefore, interested in candidates working in any field related to theoretical and/or numerical
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-development and refinement of conceptual models; devising management scenarios; building network models in one or more platforms (e.g., loop analysis/qpress; fuzzy cognitive maps/Mental Modeler; Bayesian belief
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involved in other collaborative research projects between Coley’s Conceptual Organization, Reasoning, and Education Laboratory (CORE Lab) and Helmuth’s Marine Ecological Forecasting, Ecophysiology, and
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operate in research environments oriented toward sustainability and impact. The selected researchers will contribute to both experimental and modeling activities involving sorption and condensation
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will center on building the conceptual and modeling foundations for the project. You will develop ways to measure resilience, sustainability, and regulatory readiness in supply chains, and design models
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into supply chain planning. As a postdoctoral researcher, your work will center on building the conceptual and modeling foundations for the project. You will develop ways to measure resilience
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the Institute for Theory and Computation (ITC) at the Harvard-Smithsonian Center for Astrophysics. One of the primary objectives of the ITC is to integrate conceptual theory with computational modeling. We
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. The postdoc will systematically model adversarial capabilities, develop proactive mitigation strategies, and evaluate their effectiveness in large-scale experimental settings. Who we are looking