661 engineering-computation "https:" "https:" "https:" "Univ" PhD positions in United Kingdom
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PhD Position - Marie Curie network ON-Tract: Protein engineering of enzymes: in vitro directed evolution and machine learning-based elaboration of biocatalysis for synthesis. A doctoral position is
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mechanisms. In real engines, however, the situation is considerably more complex. The presence of purge flows and tip leakage leads to inlet conditions at the endwalls that differ fundamentally from those
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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
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: Applicants should have, or expect to achieve, at least a 2:1 honours degree (or equivalent) in a relevant subject, typically in the physical sciences or engineering. Experience of computer simulation, or
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Department: Faculty of Science AI Doctoral Training Centre Programme length: 42 months Closing date: 19 April 2026 The Faculty of Science AI Doctoral Training Centre (DTC) invites applications from
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Engineering select ‘PhD Electrical and Electronic Engineering (full time)’ as the programme of study You will then need to provide the following information in the ‘Further Details’ section: a ‘Personal
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Neuroscience. You may also be considered for this position if you have professional qualifications or experience in engineering. Candidates should demonstrate willingness to build and program their experimental
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outside the UK, in a relevant area of Physical Science, Materials Science, or Engineering. You should be able to demonstrate some computational capabilities (e.g. evidencing a 2:1 or higher in relevant
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adapt quickly to new methods and technologies will be highly valued. How to apply Applications should be submitted via the Civil and Environmental Engineering PhD programme page. In place of a research
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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