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, Organometallic, Organic Chemistry and Machine Learning for a period of up to 24 months. The project, funded by EPSRC, will involve exploring the use of machine learning to develop new tools for investigating
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, microplastics; by means of numerical and experimental approaches including high-performance computing, data science methods via machine learning/AI and digital twins, enhancement, development and of application
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testing of deuterium permeation experiments in support of the UKAEA’s LIBRTI project (https://ccfe.ukaea.uk/programmes/fusion-futures/librti/). This will include expanding capabilities on UoM’s Gas-Driven
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break and are happy to discuss flexible working arrangements. For further information, please visit http://www.physics.manchester.ac.uk/about-us/equality-and-diversity/ (Grades 6-9) Our benefits include
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Strong skills in simulation methodologies Excellent communication and interpersonal skills Desirable Criteria: Familiarity with machine learning algorithms and artificial intelligence as applied
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, along with Christmas closure • Ride to work and EV car scheme available For more information, please see University of Manchester Benefits . You can also find information on our Flexible and Hybrid
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qualifications. Our benefits include: • Generous employer contribution pension • 29 days annual leave plus bank holidays, along with Christmas closure • Ride to work and EV car scheme available For more
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closure • Ride to work and EV car scheme available For more information, please see University of Manchester Benefits . You can also find information on our Flexible and Hybrid working here . We are an open
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. (Grades 6-9) Our benefits include: • Generous employer contribution pension • 29 days annual leave plus bank holidays, along with Christmas closure • Ride to work and EV car scheme available For more
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include: • Generous employer contribution pension • 29 days annual leave plus bank holidays, along with Christmas closure • Ride to work and EV car scheme available For more information, please see