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Field
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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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. Intermediate to advanced skills with at least one statistical and/or programming software (e.g., R or Python) and with regression modeling methodologies are required. Experience working with large administrative
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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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position in computational biology combines the development of novel computational methods involving control theory with practical systems modelling, simulation, and data analysis, applied first and foremost
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computational methods involving control theory with practical systems modelling, simulation, and data analysis, applied first and foremost to the field of platelet biology and haemostasis. The postholder will
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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