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the development and implementation of machine learning (ML), computer vision (CV), large language models (LLMs), and vision-language models (VLM) to automate data extraction and interpretation for productivity
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at various levels, including PhD, MSC, BEng and BSc. The Department currently has about 80 faculty members (more than 40 regular faculty members at Assistant Professor and above levels) and around 40 technical
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The role holder will conduct research into the development of biobased composite materials based on nanocellulose fibres and polymeric resins derived from lignin. The programme of work is in
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apply. Please ensure that you reference the application criteria in the application statement when you apply. Criteria Essential or desirable Stage(s) assessed at Hold or be close to completing a PhD in
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in AI research, 1st in the UK for computer vision and top 5 for AI, computer vision, robotics, machine learning and natural language processing (CSRankings) and were 7th in the UK for REF2021 outputs
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been set up with the vision is to establish a world-class centre of excellence, a reference and a shaping force of maritime safety. MSRC seeks to employ a Research Associate or Research Assistant
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will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and
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‘Research Area' field blank select ‘PhD Energy Materials' as the programme of study You will then need to provide the following information in the ‘Further Details’ section: a ‘Personal Statement’ (this is a
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and led by Prof Graham Leggett. The aim of our five-year programme is to develop a new modular approach to the creation of photonic materials, inspired by structures found in biological photosynthetic
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engineering. We aim to unravel the logic of genome organisation and metabolic control—with the bold vision of building synthetic life. In this role, you will develop and apply computational methods to analyse