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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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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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, Renewable Energy Systems Technology, Physics, or an appropriate Master’s degree. English language requirements: Applicants must meet the minimum English language requirements . Funding information
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develop AI- and deep learning–based computer vision tools to automatically identify and quantify intertidal organisms. Beyond computer vision, it will leverage machine learning for large-scale, data-driven
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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
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Application’. Use ‘Course Search’ to identify your programme of study: Search for the ‘Course Title’ using the programme code: 8201F The Research Area is: Physical Geography Select PhD Civil Engineering (full
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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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Research themes: Cyber Security, AI, Decentralized Systems, Applied Cryptography UK students This 3.5-year PhD studentship is open to Home (UK) applicants. The successful candidate will receive an
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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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or international equivalent in a subject relevant to the proposed PhD project (e.g. chemical engineering, mechanical engineering, civil engineering) is our standard entry, however we place value on prior experience