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Open PhD position: Autonomous Bioactivity Searching Subject area: Drug Discovery, Laboratory Automation, Machine Learning Overview: This 42-month funded PhD studentship will contribute to cutting
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deliver world class turbine testing at TRL 6 level in the Whittle Laboratory's new National Centre for Propulsion and Power. This will require you to create and execute engineering design, computational
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your programme of study: · search for the ‘Course Title’ using the programme code: 8040F · Research Area: Civil Engineering · select ‘PhD Civil Engineering (full time) - Civil
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data sources to answer important population-level questions that will inform health technology assessment, policy, and practice. The successful PhD student will be embedded within an interdisciplinary
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Research theme: Formal Methods How many positions: 1 This 3.5 year PhD is funded by the Department of Computer Science at The University of Manchester. The successful candidate will receive
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other UK-based and international universities. The skills, qualifications and experience required to perform the role are: Must have (or be close to obtaining) a PhD in Electronic Engineering, Physics
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other UK-based and international universities. The skills, qualifications and experience required to perform the role are: Must have (or be close to obtaining) a PhD in Electronic Engineering, Physics
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(Semester 1). Contact For informal enquiries about this opportunity, please contact Amin PAYKANI . Apply Start an application for this studentship and for entry onto the PhD Aerospace Engineering full-time
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, above. Select programme type (Research), 2025/26, Faculty of Engineering and Physical Sciences, next page select “PhD Engineering & Environment (Full time)”. In Section 2 of the application form you
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their research within the School of Engineering’s state-of-the-art facilities. The School of Engineering is well equipped with modern manufacturing systems, analytical tools and computing equipment. It also has