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(technical personnel and toilet users), implementing AI-driven data analytics for system optimization, and creating predictive models for environmental and social impact assessment. Students will work with
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challenge, making energy-efficient computing a critical research priority. This project addresses this challenge through a novel co-design approach that simultaneously optimizes both hardware and software
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, free probability, random sphere packings in high dimensions, random walks and percolation on strongly correlated structures, optimal control and transport, interacting particle systems, and mixing times
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, determining optimal ways for groups of buildings to share resources and benefits. You will investigate and quantify trade-offs between individual objectives and collective outcomes, focusing on scalability
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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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, free probability, random sphere packings in high dimensions, random walks and percolation on strongly correlated structures, optimal control and transport, interacting particle systems, and mixing times
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-time and therefore maintain an optimized printing process robustly in the face of variations in feedstock materials and/or the required output. This will be achieved by developing novel printing
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Accountabilities Design and implement software pipelines to deploy ML models on edge devices with real-time inference capabilities. Optimize machine learning models (e.g., quantization, pruning) for edge hardware
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environment and take optimal advantage of the many training opportunities it provides. Essential criteria for the role include: Hold, or near completion of, a PhD in medicinal chemistry, organic chemistry, or a
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still hampered by: Ability to detect areas along the intertidal for optimal restoration3. Knowledge on how positive species interactions can be harnessed for rapid restoration4. Availability of devices