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View All Vacancies Chemistry Location: UK Other Closing Date: Sunday 12 May 2024 Reference: SCI266 Uncertainty quantification for machine learning models of chemical reactivity In this PhD
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View All Vacancies Engineering Location: UK Other Closing Date: Friday 31 May 2024 Reference: ENG1753 Subject area: Drug Discovery, Laboratory Automation, Machine Learning Overview: This 36-month
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leading-edge data analysis, including machine learning/AI approaches. We are looking to attract applicants from chemistry/materials chemistry with an innate drive and curiosity to deliver new solutions
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, chemistry, or engineering. They should have evidence of strong background in optics, experience in computer programming, electronics skills, and be willing to learn/conduct cell and tissue-based experiments
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world leading veterinary expertise with advanced skills in computer vision and machine learning. Alongside the opportunity for academic research and publication, this PhD provides the opportunity
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with the Manufacturing Technology Centre (MTC). It is based within the School of Mathematical Sciences at University of Nottingham which conducts cutting edge research into machine learning methods
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loading rate effects on constitutive properties of modern engineering materials. Machine learning based meta models for complex engineering system simulation. Thermodynamics & Fluid Mechanics Development
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with the Manufacturing Technology Centre (MTC). It is based within the School of Mathematical Sciences at University of Nottingham which conducts cutting edge research into machine learning methods
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relate to the interests of one of the School’s research groups: Cyber-physical Health and Assistive Robotics Technologies Computational Optimisation and Learning Lab Computer Vision Lab Cyber Security
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the areas of: Sustainable/resilient chemical supply chains Artificial Intelligence /Machine Learning for the prediction of bulk properties in performance molecules and materials Synthetic electrochemical