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emerging photonic microdevices promising to revolutionise computer, communication, and sensing technologies must be performed with unprecedented picometre (one-hundredth of the atomic size) precision
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behaviours? The proposed approach will focus on developing a multi-agent AI framework that integrates traditional penetration testing methodologies with machine learning techniques and advanced generative AI
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PhD Studentship: Ageing of stowable polymer composites for space applications Deployable spacecraft structures, such as extendible masts and antennas, unfolding panels, and even inflatables
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, and space hardware. This PhD research aims to develop a comprehensive Mode Selection Framework for Reduced Order Modelling (ROM) in Structural Dynamics—using machine learning to build robust
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in computer vision would be beneficial but not essential; determination, curiosity, and a willingness to learn are key attributes we value. Applicants with alternative qualifications, industry
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PhD Positions Country Denmark Application Deadline 1 Oct 2025 - 23:59 (Europe/Copenhagen) Type of Contract Temporary Job Status Full-time Hours Per Week 37 Offer Starting Date 1 Feb 2026 Is the job
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A funded PhD position is available on a project funded by the Leverhulme Trust. Description below: The density of information content in screen media – i.e., the light, volume and pitch changes from
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Characterisation" "Data Science and Machine Learning in Materials" "Plastics Recycling and Circular Economy" Research theme: "Materials Characterisation" "Data Science and Machine Learning in Materials" "Plastics
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start dates: 1 October 2025 (Enrolment open from mid-September) Supervisors: Hari Arora (Biomedical Engineering), Richard Johnston (Materials) and Iain Whitaker (Medicine) Aligned programme of study: PhD
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The Nottingham BBSRC Doctoral Training Partnership Four-year funded PhDs available in Sustainable Agriculture and Food Security, Bioscience for Human Health and Biotechnology for Sustainable Growth