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Field
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to writing of journal articles and conference presentations Operate within area of specialism and collaborate with a wider interdisciplinary research team Participate in wider networks, including the Adult
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communication skills, both written and oral, with the ability to explain complex theoretical concepts clearly to diverse audiences, including experimental collaborators or non-specialists. Ability to start July
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also benefit from international networks and regulatory collaborations in Europe. 2. Prehospital teamwork and simulation of complex patient pathways Prehospital care requires rapid and effective decision
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transportation operations and network modelling, accessibility analysis, data analysis (statistics and/or machine learning methods), and spatial mapping. Because the work will involve multiple years of daily
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science and artificial intelligence concepts and tools to solve complex problems. Candidates will also be developing machine learning techniques and applying them at scale to specific projects with regular
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for an experienced, creative researcher with a track record of supporting research-informed programmes of complex change to join CELCIS as our new Complex Change Research Fellow. As a leading improvement and
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-relevant work in AI or a related field. Effective communication of complex scientific ideas to a non-technical audience. Application should include: A short CV. A summary, in one page or less, of your
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models, frameworks, and methods to confront complexity underlying persistent societal challenges affecting the well-being of people and the planet. This position represents a unique opportunity to
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Associate Professor Duane Loh on conducting research at the interface of Machine Learning and Bio-imaging under a project on Learning Spatiotemporal Motifs In Complex Biological Systems. The main
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a plus. Be technically rigorous, curious and creative. Show enthusiasm in tackling complex biological problems and developing/applying new technologies. Have advanced at least one key research project