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: · search for the ‘Course Title’ using the programme code: 8090F. · select ‘PhD Mechanical Engineering (full time) - 8090F' as the programme of study You will then need to provide the following
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among the world’s top 30 computer science departments. In 2026 QS World University Ranking by Subject, it is ranked 23rd for Computer Science and Information System, and 24th for Data Science and AI
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code: 8060F · 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
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of mostly water and molecules such as proteins, lipids and sugars that decay every day, so we eat and sleep to restore daily our cell biology. Synapses and changes in cell shape are made and unmade every day
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experimental chemistry. Additional training in a wide range of soft and hard skills is available at the University. What you will do: This PhD project aims to bring together multi-scale modelling and data-driven
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and kinematic models with machine-learning-based channel state information (CSI) prediction to enable robust, low-latency connectivity across multi-layer NTN systems. This PhD project sits
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the programme code: 8030F · select ‘PhD Chemical Engineering (full time)' as the programme of study You will then need to provide the following information in the ‘Further Details’ section: · a
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narrow down what parts of our genome are actually important for defining modern human-specific biology. This project will analyse data from these ultra-large datasets, alongside data from our great apes
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engineering, prefer to have experience in IC engines, combustion and CFD. How to apply Applications should be submitted via the Automotive Engineering PhD programme page. In place of a research proposal, you
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mucosa. Objectives include: 1. Training generative models to produce realistic, high-resolution microscopy images. 2. Ensuring no synthetic image is identical to real patient data. 3. Evaluating image