66 computational-physics "https:" "https:" "https:" "https:" "The University of Tokyo" positions at Cranfield University
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Diversity Champions Programme. We are committed to actively exploring flexible working options for each role and have been ranked in the Top 30 family friendly employers in the UK by the charity Working
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Centre focuses on applying cutting-edge approaches in synthetic biology, biotechnology, computational modelling and engineering science to deliver innovative solutions in bioengineering and bioremediation
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are part of the programme. Entry requirements Applicants should have a first or second class UK honours degree or equivalent in a related discipline. This project would suit students with an aerospace
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Confident Employer and proud members of the Stonewall Diversity Champions Programme. We are also committed to actively exploring flexible working options for each role. Find out more about our key
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and proud members of the Stonewall Diversity Champions Programme. We are committed to actively exploring flexible working options for each role and have been ranked in the Top 30 family friendly
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in which everyone can work and study together and realise their full potential. We are a Disability Confident Employer and proud members of the Stonewall Diversity Champions Programme. We are committed
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expertise in soil, plant and microbial systems across scales, with the Cranfield Environment Centre , which has expertise in environmental informatics and modelling and is the UK National Reference Centre for
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, logistics and operations management, business analytics, Artificial Intelligence, computer science, or a related field would be particularly suitable. We would especially welcome candidates with an interest
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and proud members of the Stonewall Diversity Champions Programme. We are committed to actively exploring flexible working options for each role and have been ranked in the Top 30 family friendly
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Design and Manufacturing Engineering to Tackle Global Sanitation Challenges - MSc by Research or PhD
of toilet technologies. Students will investigate how to optimize designs for manufacturability while maintaining performance requirements, reduce production costs through process optimization, and create