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Field
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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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fundamentally new communications and computing capabilities. Role This post focuses on developing protocols and methodologies aimed at: Efficiently routing entanglement in quantum networks Optimizing quantum
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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
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Engineering, and Engineering Management. Students with interests in computational mechanics, optimization design, bioinspired design, sustainability management, machine learning, AI, uncertainty quantification
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optimizing sensor materials to address anti-fouling capabilities. The candidate will ensure sensor coating materials respond directly to the key measurement parameters and optimise sensor material to maximise
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implementing data-driven approaches to optimize marketing campaigns, refine the student recruitment process, and generate meaningful insights into student demographics and preferences. It’s an exciting
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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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modelling, simulation and system optimization Working closely with Draeger Safety UK team including senior management, suppliers, and company clients, as well as NU academics to ensure the successful
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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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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