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technology platform) to design and test resilience- and sustainability-increasing strategies for the built environment. The Research Fellow will contribute to developing the Minority Report computational
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About the Project We are seeking a talented and dedicated team of scientists, bioinformaticians and support colleaguesto join the ground-breaking PharosAI initiative – a £43.6M national programme co
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About the Project We are seeking a talented and dedicated team of scientists, bioinformaticians and support colleagues to join the ground-breaking PharosAI initiative – a £43.6M national programme
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partners. Main Duties Improve, develop, implement, and apply advanced computational tools and workflows to process, analyse, and interpret large-scale LCMS-based metabolomics datasets across multiple species
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You will be directly involved with the UNIFORM (UNIfying Grid-FOllowing And Grid-foRMing Control In Inverter-based Resources) project, a collaborative programme with four academic and industrial
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of Computing and Digital Technology is a thriving, vibrant, and inspiring learning community committed to excellence in research, high quality teaching and impactful industrial engagement. Building on continuous
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barriers to positive change IMPACT is led from the University of Birmingham with multiple partners across the UK. Stirling is the lead Scottish Higher Education partner. The role is located in Stirling
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excellent interpersonal skills. About You You will hold a PhD in a relevant subject such as Aerospace, Mechanical, Electrical, or Software Engineering for the Research Fellow position, or hold a Master's
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partners. Main Duties Improve, develop, implement, and apply advanced computational tools and workflows to process, analyse, and interpret large-scale LCMS-based metabolomics datasets across multiple species
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the role Overview of the role We are seeking a highly motivated Research Fellow in Machine Learning to join the PharosAI team, focusing on developing novel machine learning methods in computer vision