Sort by
Refine Your Search
-
Incorporating social preferences into public health policy decision-making using evolutionary multi-objective optimization and multi-criteria decision modelling approaches School of Medicine and
-
systems. This project aims to understand how cells in the central nervous system efficiently fill space during development -a process critical for optimizing functions like sensory information processing
-
Predictive and optimization-based control of smart grids: theory and algorithms School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr P Trodden Application Deadline
-
accepted all year round Details Model predictive control (MPC) is a popular advanced control technique that solves a constrained optimal control problem, on-line, at each sampling instant. The first control
-
and optimizing 6G networks especially in the Physical Layer. It will help the network adapt to different situations, like crowded stadiums, manufacturing sites or remote villages, making sure there is
-
Overview How does the brain stabilise neuronal activity to ensure optimal information encoding? Andrew Lin’s lab at the University of Sheffield is seeking a Research Associate to study these
-
) project. You will learn, develop and validate multiscale computational models to predict bone adaptation over time in osteoporotic patients and help optimizing their personalized pharmacological and
-
results from numerical and machine learning work to support the optimal deployment of the new sensors and their applications. Support field experiments with the new sensing technology in collaboration with
-
conservation and urban planning. 2 Multifunctionality and Adaptability of GI · Exploring the balance between solar energy deployment and urban green infrastructure for climate adaptation. · Optimizing
-
be embedded throughout, with a quality by design approach facilitating targeting materials with an optimal trade-off between performance and sustainability. The project suits an individual with a