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of DOC in peatland-fed raw waters. DOC can react with chlorine to produce carcinogenic disinfection by-products. This project aims to develop a new, effective, proof-of-concept process for removing DOC
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used to provide a natural language interface to automatically create complex engineering design models to bypass the highly skilled and lengthy process in current practice. About the person: Candidates
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the Physical & Theoretical Laboratory, South Parks Road, Oxford OX1 3QZ and the Chemistry Research Laboratory, 12 Mansfield Road, Oxford OX1 3TA and is available as soon as possible. Application Process
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. For more information on the admissions process generally, please contact [email protected] The closing date for applications is 12 noon on Monday 12th of August 2024. We regret
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ensure that all aspects of the design and integration process are captured including integration with cooling and thermal management system, physical integration and installation, selection of materials
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, to develop a deeper understanding of the nature of these compositions and the practices of the composers, and to establish the foundation of a new archive of digital and physical materials along with a
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will be to shortcut the current search process in classify crystallographic orientation. This will be built upon where machine learning algorithms will be developed to extract material elasticity
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laser ultrasonic imaging techniques with advanced artificial intelligence, the aim of this project will be to shortcut the current search process in classify crystallographic orientation. This will be
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programme type (Research), 2023/24, Faculty of Physical Sciences and Engineering, next page select “PhD Engineering & Environment (Full time)”. In Section 2 of the application form you should insert the name
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both machine learning and symbolic AI. The discovery of new solid electrolytes is a core project target. You will have a PhD in Chemistry, Physics or Materials Science. The post is available from 1st