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the discipline to work within established research programmes. Excellent communication skills, including the ability to write for publication, present research proposals and results, and represent the research
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to the development of research programmes and methodologies including online and in-person workshops and field work with teachers Ability to routinely communicate complex and conceptual ideas to those with limited
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. Understanding of research communication and impact. Excellent analytical skills. Ability to plan and work independently, taking responsibility for work in a proactive and independent manner. Ability to work
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Coupled Plasma) torch design for high enthalpy thermal plasma flow. Developing/Validating computational models for a dual stage plasma torch. You should hold a PhD (or equivalent experience) in Plasma
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clearly with stakeholders • Organisation and administrative skills • Competent using a range of computer-based and online applications • Able to organise own workload and work
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The London School of Hygiene & Tropical Medicine (LSHTM) is one of the world’s leading public health universities. Our mission is to improve health and health equity in the UK and worldwide; working in partnership to achieve excellence in public and global health research, education and...
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partnership with Agrecalc (Farm carbon calculator | Home | Agrecalc ), Farm Carbon Toolkit (Home - Farm Carbon Toolkit ), and the Coolfarm tool (Carbon Footprint Calculator | Measure Water & Biodiversity
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offering creative or innovative solutions. To liaise with research colleagues and make internal and external contacts to develop knowledge and understanding To plan and manage own research activity, research
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, Chemical Engineering, Materials Science, Computational Engineering, or a related field. Prior knowledge, experience and achievements in multi-physics and CFD modelling of Electric Arc Furnace processes
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Hopkins University (USA). About the role The PDRA will lead the development of new computational and mathematical models to quantify and predict infectious disease risk, particularly for identifying high