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updates in a landscape evaluation toolkit, which include new models for listed and sensitive species. These models can inform managers during planning on how to improve forest health and reduce adverse
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modelling experience, an ability to work in a multidisciplinary team and engage confidently with partners. You will have a track record of publishing high impact journal articles, and will have a commitment
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Job no:520746 Work type:Full Time Location:Crawley Categories:Engineering and Mathematical Sciences, Social Sciences Lead numerical modelling of carbonate sand for offshore foundations, support
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this project, leading the computational modelling of charging infrastructure required to meet electric mobility goals. You would work closely with another researcher on the project focussing on associated
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and international academic researchers, research assistant(s) and research students to develop a unified computational model of how humans use automated advice. Undertake independent and collaborative
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actions working on causal AI for a changing world. The AIML at the University of Adelaide is the largest computer vision and machine learning research group in Australia with over 180 members including
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models, and contributing to the dissemination and publication of research findings. The role also involves working in tandem with the Head of Product Policy and the Group Head of Strategy and Planning
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are in particular targeting development of data-driven high-performance computing techniques for unbiased discovery of generative models & theory and algorithms for network inference with special reference
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the Gilbert S. Omenn Department of Computational Medicine and Bioinformatics at the University of Michigan is recruiting a post-doctoral researcher to develop computational models to study the spatial
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. This interdisciplinary collaboration with the University of Lincoln and University of Liverpool focuses on developing innovative computational approaches that integrate advanced genomic analysis with state-of-the-art