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This position is for a Postdoctoral Research Associate on the EPSRC New Investigator Award `Accelerating Laboratory Automation Through Learning Tool Morphology For Robotic Chemists¿, a project
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This position is for a Postdoctoral Research Associate on the EPSRC New Investigator Award ‘Accelerating Laboratory Automation Through Learning Tool Morphology For Robotic Chemists’, a project
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To undertake research on the evolution of prokaryotic pangenomes using machine learning and AI approaches. The work will involve the analysis of large prokaryotic genome datasets, the development
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together to answer some of the most important questions about the causes, prevention and treatment of disease. We are seeking a Postdoctoral Researcher to explore the cellular and genomic determinants
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to develop a holistic e-motor cooling technology, maximising heat transfer through direct-contact, spray cooling. The Team is looking to appoint one Postdoctoral Research Associate on Machine-Learning Assisted
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for manufacturing operations. Process control: process modelling, control, and optimization, with applications in chemical and pharmaceutical manufacturing; data-driven modelling and machine learning applications in
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Postdoctoral Research Assistant (PDRA) position. This EPSRC-funded position is fixed-term until October 2026. The Role You will conduct research at the intersection of perception, learning, and navigation
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of atomistic modelling of ferroelectric materials 2. Experience in development and application of machine learned potentials * Please note that this is a PhD level role but candidates who have submitted
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experience in machine learning and image analysis for ultrasound images and video. The successful applicant will possess specialist experience conducting fieldwork, particularly in low-resource or rural
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researchers in applied mathematics and machine learning. This is due to its remarkable flexibility, mathematical elegance, and as it has produced state-of-the-art results in many applications. As a leading