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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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View All Vacancies Engineering Location: Jubilee Campus Salary: £30,487 to £45,585 per annum (pro rata if applicable), depending on skills and experience (minimum £33966 with relevant PhD). Salary
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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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required. Candidates must hold or be about to obtain a PhD or equivalent and research experience in electrical machines. The applicant must be able to demonstrate that they can design and analyse electrical
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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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/) and The Donald Danforth Plant Science Centre (https://www.danforthcenter.org/) The candidate should have (or nearly completed) a PhD in a computer vision or a deep learning-related subject. The ability