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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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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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-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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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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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
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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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/) at Georgetown University Medical Center is seeking a highly motivated Postdoctoral Research Fellow to investigate the complex interplay between metabolite-protein interactions in aging and age-related
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conduct original, foundational and applied research on the application of Quantum timing devices to networked radar systems and to evaluate their feasibility and performance limits through a combination of
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This full-time, three-year fixed term post is available immediately at the Centre for Net Positive Health and Climate Solutions (Net+ Centre). We welcome applications from candidates interested in