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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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of multimodal imaging, including spatial transcriptomics, single cell and large-scale omics data, digital pathology, using cutting-edge AI and machine learning approaches. You will play a critical role in
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the exact days you can work remotely will differ between teams and departments, it should provide you with greater flexibility, provided you are in the UK. Learn more about our future ways of working and
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, and advanced machine learning frameworks into LSE’s research computing ecosystem. We are looking for dynamic and experienced individuals to join our Research Computing team with: Strong technical
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and enabling commercial deployment. The work will integrate model based design of experiments, machine learning, hybrid and kinetic modelling (digital twin development), process design, simulation and
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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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We are a world class research-intensive university. We deliver teaching and learning of the highest quality. We play a leading role in economic, social and cultural development of the North East of
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and techniques used to support the delivery of the school’s learning and teaching outcomes, including working with conventional machine tools/hand tools within an Engineering Machine Shop environment
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of practical classes and supporting students on undergraduate/postgraduate courses as well as administrative, assessment and exam duties as required. This post will support learning and teaching in
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scales, lubrication and wetting, biophysics as well as machine learning or metamaterials. For experimentalists, we particularly interested in applicants aligned with our existing research infrastructure