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will: Proactively identifying external opportunities Horizon scanning, campaign planning and content scheduling Copyediting Deliver a programme of key events Work with researchers to support their policy
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backgrounds in computer science, physics, signal processing, and statistics. This interdisciplinary environment encourages researchers to pursue their scientific interests with a high degree of intellectual
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Machine Learning Quantum Phase Transitions via Topology- and Symmetry-aware AI School of Mathematical and Physical Sciences PhD Research Project Self Funded Dr Marco Fazzi Application Deadline
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Imperial (in Physics and Aeronautics), along with a larger multinational effort. You will also engage with a team at the University of Leeds to translate your research for policy-oriented discussion and
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the Franklin, you will bring the scientific knowledge and skills needed to deliver a specific research project within a team delivering a research program. Through this work, you will build scientific
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of CH previously developed in our group. About You We are seeking quantitatively-minded researchers with a PhD in physics, mathematics, computer science, mathematical/computational biology, evolutionary
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or 2nd class hons degree in computer science, biomedical engineering, physics, mathematics or related subject PhD qualified in computer science, biomedical engineering, physics, mathematics or related
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Spärck AI Graduate Scholarship Named after pioneering British computer scientist Karen Spärck Jones, the Spärck AI Scholarship programme is a government funded initiative which provides full funding
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Programmes in a varied and fulfilling role in a small, friendly team. Your day-to-day duties will include: Supporting the application process and conducting admissions interviews to assess the suitability
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Purpose of role: The Biochar Demonstrator is a £4.5M project funded by BBSRC as part of the £30M Greenhouse Gas Removal (GGR) programme. The Demonstrator will address the uncertainties concerning