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systems (RAS) with the research expertise at the University of Manchester in this field. The partnership aims to deliver novel and transformational RAS technology that enables robots to be deployed in
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to tackle materials science challenges is gaining increasing popularity. DL methods have been effectively applied to solve a broad range of microstructural classification problems and yield state-of-the-art
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of Manchester from October 2024. The use of machine learning methods and molecular simulations for polymer design and property prediction is the new frontier in polymer science. This project aims at using a mix
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of the work, including via a short-term secondment in Derby. Applicants should have, or expect to achieve, at least a 2.1 honours degree or a master’s (or international equivalent) in a relevant science or
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that can deliver valuable pharmaceuticals ranging from small peptide drugs through to larger antibody drug conjugates (ADC). The PhD research programme will include: (i) using bioinformatics approaches
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often have poor solubility in organic solvents. In biology, nucleosides are synthesized efficiently and in a regio- and stereoselective manner by enzymes – thus, biocatalysis offers an attractive
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interpret the ageing results obtained from the experiments as well as to identify potential new ageing markers. Computational chemical modelling which also called Molecular Dynamic (MD) simulation is becoming
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expect to achieve, at least a 2.1 honours degree or a master’s (or international equivalent) in a relevant science or engineering related discipline. Interviews will be on a rolling basis until the
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. The hypothesis is such approach could more effectively manage the electric field stress at elevated voltage level than existing material/design. To tackle this research, fundamental materials science must first be
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21 Feb 2024 Job Information Organisation/Company The University of Manchester Department Department of Materials Research Field Engineering » Industrial engineering Researcher Profile First Stage