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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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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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languages (Python/MATLAB) commonly used in machine learning applications is desirable but learning can be completed during the PhD. Excellent communication and interpersonal skills to facilitate collaboration
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sponsors own security checks prior to the commencement of the PhD. Vision We are seeking a motivated PhD candidate with enthusiasm to learn about state-of-the-art developments in statistical machine learning
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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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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
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sponsors own security checks prior to the commencement of the PhD. Vision We are seeking a motivated PhD candidate with enthusiasm to learn about state-of-the-art developments in machine learning and AI
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if other criteria are met. Proficiency in programming languages (Python/MATLAB) commonly used in machine learning applications is desirable but learning can be completed during the PhD. Excellent
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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