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Field
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). The research activities include, among others, modeling and simulation of microclimate dynamics in controlled environment agriculture (CEA), precision monitoring and management of temperature and humidity, and
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of the following areas: state models, time series analysis, computational statistics, unsupervised machine learning, optimisation, model predictive control. Experience in financial mathematics. Having high integrity
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Postdoctoral Researcher to lead the development of near real-time predictive models of vegetation fuel moisture using a combination of field data and satellite imagery from Sentinel-2 and Landsat (HLS
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-depth research experience and solid expertise in one or more of the following areas: Advanced Process Control and Optimization Digital Twin and Modeling & Simulation Predictive Maintenance and Fault
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on near real-time prediction of vector-borne disease risk, phylogeographic modeling of non-pathogenic viruses to estimate mosquito dispersal, and understanding how weather-dependent human behavior impacts
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or more of the following areas: Advanced Process Control and Optimization Digital Twin and Modeling & Simulation Predictive Maintenance and Fault Diagnosis Industrial IoT and Edge Computing Good programming
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, effort, and experimental expenses, and to provide data that is unachievable through experiments. Chemical kinetic models form the basis for a predictive tool, used to understand, optimise, and engineer
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developed using finite element analysis (FEA) between LMGC, ICube and LEM3 Labs to model the behaviour of Wharton's jelly samples in an ex vivo and in vivo context. Predictive tools, based on previous models
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Intelligent Control Systems RESPONSIBILITIES Develop industrial process digital twin models based on the fusion of mechanistic and data-driven approaches. Develop predictive maintenance and fault diagnosis
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machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to process scales, develop model-predictive control and optimization strategies, run