786 engineering-computation-"https:" "https:" "https:" "https:" "https:" "U.S" PhD positions in United Kingdom
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safety risks (toxic radioactive WO3 formation as an example). Therefore, separate effects study and combined synergistic studies are essential to map PFC performance and generate robust engineering
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) advances in imaging techniques that fuel a more detailed understanding of the brain, 2) tools from artificial intelligence that enable building better computer simulations of the brain. The lab will leverage
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) and Edge Computing are undergoing a major transformation. Systems that once relied heavily on cloud-based processing and passive data collection are evolving into distributed networks of intelligent
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or engineering backgrounds. What the Franklin PhD Programme Offers A unique research-focused environment, plus collaborations with leading universities and global companies Access to brand-new labs and industrial
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programme of study: search for the ‘Course Title’ using the programme code: 8030F select ‘PhD Chemical Engineering (full time)’ as the programme of study You will then need to provide the following
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. To investigate the Space Launch Impact on Climate and Environment, SLICE will therefore develop a research and training programme that bridges the current divide between space engineering and climate science to
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practices for human-in-the-loop systems and provide evidence for government policy. This research offers candidates the chance to address pressing societal questions at the intersection of technology
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degree in engineering, maths or a relevant discipline, preferably at Masters level (in exceptional circumstances a 2:1 degree can be considered). To apply visit: http://www.nottingham.ac.uk/pgstudy/apply
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PhD Studentship in: Food Waste to Sewer: Evidence, Infrastructure Resilience, Circular Economy and Policy Implications School of Mechanical, Aerospace and Civil Engineering PhD Research Project
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manufacturing sectors, from SMEs to large global manufacturers. For details, visit the MTC website . Entry requirements: A 1st or high 2:1 degree in computer science, manufacturing/industrial engineering, data