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physical strain. With a suicide rate 3.7 times higher than the general population, the construction industry has become one of the most stressful and dangerous sectors, highlighting the urgent need
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computational biologists • Opportunity to contribute to high-impact publications • Career development opportunities, including support for enrolment in PhD programmes This post is for 1 year
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Mathematics PhD on the Programme Choice page. You will be prompted to enter details of the studentship in the Funding and Research Details sections of the form. Candidate requirements: Applicants must hold
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of the project is to 1) develop computational pipelines for image analysis and physical analysis of cell shape trajectories, and for combined morpho-molecular analysis of cell shape together with molecular markers
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This PhD opportunity at Cranfield University invites candidates to explore the integration of AI into certification and lifecycle monitoring processes for safety-critical systems. The project delves
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’ to identify your programme of study: Search for the ‘Course Title’ using the programme code: 8856F. Leave the ‘Research Area’ field blank Select ‘PhD in Process Industries; Net Zero (PINZ’) as the
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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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to funding restrictions this PhD position is only available to UK nationals. As this position is sponsored by the MTC, any successful candidate would need to pass the sponsors own security checks prior
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Application deadline: All year round Research theme: Robotics, Smart Manufacturing How to apply:uom.link/pgr-apply-2425 No. of positions: 1 This 3.5 year PhD is funded by the Department
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BCAST Applications are invited for one full-time EPSRC Industrial CASE (ICASE) PhD studentship for the project “Development of high performance and highly impurity-tolerant recycled Al alloys