672 computer-programmer-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" PhD positions in United Kingdom
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studentship as part of the appointment. This post forms part of an international multi-site programme with the title: Sociology of Authoritarian Law: Insights from Central Asia (SOCIAL), which is based
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to validate computational fluid dynamics modelling to determine drag and vortex-induced vibrations on dSPCs associated with biofouling. Better understanding of the hydrodynamic consequences on dSPCs from key
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Project link: Applications of Liquid Crystals in Augmented Reality and Virtual Reality technologies | Project Opportunities | PhD | University of Leeds Number of Positions: 1 Eligibility: UK Only Funding: School of Physics & Astronomy Scholarship, in collaboration with Merck, providing the award...
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separation from their social group during treatment and recovery). Collection management (such as species breeding programmes) may mean that individuals are moved between institutions and must integrate into a
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repair and maintenance of gas turbine engines. Applicants are invited to undertake a fully funded three-year PhD programme in partnership with Rolls-Royce to address key challenges in soft robotics
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Proposed topic “Creating a National Digital Twin for self-harming and suicidal behaviours” Self-harm and suicide are increasingly recognized public health priorities globally, leading to greater political commitment and a surge in scientific inquiry. However, the wide range and vast number of...
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applications are made at http://www.bris.ac.uk/pg-howtoapply . Please select PhD in Computer Science on the Programme Choice page. You will be prompted to enter details of the studentship in the Funding and
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A fully funded 3-year PhD studentship is available from 1st October 2025 in the School of Computer Science and Engineering at Bangor University. The project investigates viral infection in real-time
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observations and modelling of the physics and biogeochemistry of Antarctic shelf seas. You will gain experience in computer coding, statistics for environmental science, working with and piloting autonomous
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machine learning. The position will involve working with different research groups in the Department of Computer Science at the University of Cambridge, UK. In this collaborative project, we will apply