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to develop learning-based model predictive control (MPC) algorithms for multi-agent multirotor drone navigation around vessels in maritime environments. The role will focus on integrating multirotor
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Distributed, robust and adaptive model predictive control (MPC) School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr P Trodden Application Deadline: Applications
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as AWS SageMaker Small or large language model development with retrieval-augmented generation Desirable : Industrial analytics or predictive maintenance Knowledge of construction-related industries
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Centers: Surgery, General Surgery Postdoc Appointment Term: 1 year Appointment Start Date: November 1, 2026 Group or Departmental Website: https://med.stanford.edu/s-spire.html (link is external
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currently observed, an intelligent agent can use an internal model of the world to represent its surroundings, anticipate what may happen next, and reason about the consequences of possible actions
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and applying optimisation methods, such as model predictive control, multi-objective optimisation and, where appropriate, reinforcement learning Investigating suitable model-reduction and approximation
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metazoans by combining deep learning, epigenomic data, and mechanistic modelling. The mission is to contribute to the development of predictive models of the replication initiation probability
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conditions. Assessing generalization capabilities and robustness against uncertainties. Stability Analysis of Model Predictive Control (MPC) Loop In parallel, we will ensure the stability of the MPC
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members of those research teams. Unit URL https://imci.uidaho.edu/ Position Qualifications Required Experience Experience with statistical or predictive modeling as demonstrated by publications in the
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), and data-model integration, leveraging the U.S. Department of Energy’s (DOE) Leadership-Class Computing Facilities to advance predictive understanding of complex environmental systems. Major Duties