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scientific information in clear, concise, and accurate language that can be understood by scientific audiences and the general public would be an advantage. We would especially be keen to hear from candidates
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relevant to industry demands while working on innovative projects within the university. The research team is seeking a Research Fellow or Research Engineer with strong expertise in Human-Computer
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with Materion’s Technology & Innovation roadmap. Perform materials and component testing using Materion and Imperial facilities. Analyse data, evaluate results, and implement solutions to manufacturing
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recruitment activities, teacher training, and ongoing monitoring and support for schools (including school visits) Collecting and summarising data, data management and quality control, sharing key information
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inventory data from mature and secondary forests with assessments from restoration sites. You will be expected to perform data analyses, author research papers, lead field expeditions to Brazil to fill key
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knowledge and experience in mixed methods research, ranging from qualitative, both data collection and analysis and demonstratable quantitative research skills. Experience working with people with lived
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Theoretical Physics. The successful candidate will work on the research project MakingAI: AI-Driven Integration of 'Messy' Data in Technical Art History, a close interdisciplinary collaboration between
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implementation of research on haptics technologies in the context of learning for sustainability in schools. The post holder will be involved with in-person and online data collection (interviews, observations
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opportunity for someone with a first/master’s degree in data science or a related field with a substantial quantitative component. The post holder will lead a cutting-edge innovation project in learning in a
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collaborator, submitting timely data & documents, and purchase chemicals or consumables. iv. Consolidate the data in order to generate sufficient scientific evidence for meetings slides and report in conferences