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. The practical element of your project will be based on, but not limited to, time series analysis, network analysis, Bayesian inference, Machine Learning, as well as computational simulation of mathematical models
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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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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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architectures to tailor the function and properties. For further information about the research group, see webpage http://ashokkeerthi.weebly.com/. The successful applicant should have, or be working towards a
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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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• 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 place
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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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The Department of Computer Science seeks to strengthen and expand its research in AI & Machine Learning through the appointment of a Lecturer or Senior Lecturer in AI/Machine Learning