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as possible thereafter. The Role Drawing on over a decade of formulation data, you will develop machine learning models that link chemical composition and processing parameters to the physical and
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. This PDRA position will focus on advancing the robotics and automation capabilities of the Mobile Robotic Process Chemist platform - a fully automated, modular system that integrates synthesis, work-up, and
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efficient exploration of this multidimensional space. Working with the colleagues at the University of Liverpool, you will also help develop process¿optimisation algorithms toward autonomous operation and
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oral history. Application process In addition to the online application form, please provide: • CV • Covering letter explaining how your past research is suitable for the role, and your
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, experience working with African archives and ideally training in either oral history or ethnography. Application process In addition to the online application form, please provide: • CV
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We are seeking to appoint a postdoctoral researcher to join our programme on application-specific detector R&D for physics experiments, supported by the UK Science and Technology Facilities Council
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Pizzuto. This PDRA position will focus on advancing the robotics and automation capabilities of the Mobile Robotic Process Chemist platform ¿ a fully automated, modular system that integrates synthesis
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Computer Science, Chemistry, Chemical Engineering, Physics, or Materials Science. You will develop optimisation and machine-learning algorithms for human- and literature-informed discovery of new materials
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an interdisciplinary team working across physical and computer science to develop new pathways to the design and discovery of inorganic materials as part of the Leverhulme Centre for Functional Materials Design. This
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distortions in the presence of a shallow crustal hydrothermal system at a model caldera volcano. The model will use the phase field approach and be implemented in Alya, the parallel multi-physics Computation