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. Using our modelling frameworks which capture metabolic and gene expression constraints and recently benchmarked computational tools for systems identification and model calibration, you will develop new
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environmental inputs, algae physiological parameters and microbial community eDNA data to develop predictive mechanistic models which can be utilised to develop an optimal cultivation strategy. The project is
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The role will develop new AI methods for identifying the instantaneous state of a fluid flow from partial sensor information. The research will couple techniques from optimization and control theory
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breakwaters under varied sea conditions. 2. CFD and Finite Element Modeling Perform Computational Fluid Dynamics (CFD) simulations to optimize the design and performance of floating breakwaters. Develop finite
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need optimally. Finally, in a multi-site study, we will test whether using this system and escalation pathways leads to better outcomes. We are seeking an enthusiastic, ambitious, clinical researcher
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who is at risk of deterioration. We will then investigate how to use this information to escalate the care of women in need optimally. Finally, in a multi-site study, we will test whether using
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sensors, firmware-controlled automation, wireless connectivity, and maintenance algorithms. Students will design, build, and test smart sanitation solutions that can monitor system performance, optimize
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, using data to inform decisions and optimize processes. Ensure all project activities comply with relevant regulations, standards, and best practices. What's in it for you? An impressive 32 days leave
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quality, and real-time AI performance. This research hub, tackles the intricate challenges of cyber-disturbances and data quality in Edge Computing (EC) environments supporting AI algorithms. The role
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aims to optimize the operations (serving) of AI by developing algorithms that manage compute, network, and storage resources in a carbon-efficient way while supporting long-term benefits