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Field
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shocks from the past and places them into a future scenario. What can we learn from the past to improve future climate projections and preparedness? It will drastically expand the available evidence by
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of directly related experience. Knowledge / Skills / Abilities Knowledge Deep understanding of evidence-based teaching and learning practices across multiple modalities. Knowledge of faculty pedagogical
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; Position 2 requires oral and written proficiency in Arabic and English Ability to learn, develop and apply new tools and techniques for digital research, ethnographic fieldwork, data analysis and writing
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laboratory analytical methods (e.g., chromatography, mass spectrometry). Familiarity with AI or machine learning applications relevant to environmental data analysis. Basic knowledge of GIS/mapping tools
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000 individuals in UK. As part of a wider strategy to develop a deep human experimental medicines platform, this project aims to mainly focus on using novel human in vitro platforms using IBD gut stem
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of an artificial intelligence (AI) solution for the diagnosis of invasive fungal infections, using microscopy images obtained in laboratory settings with limited resources. Leveraging deep learning models such as
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Good mathematical skills Good writing skills Desire to teach All candidates and projects will have to undergo a check versus national export, sanctions and security regulations. Candidates may be
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, providing them with a deep understanding of the field and hands-on experience in informatics research. In addition to the primary informatics and research responsibilities, there is the potential
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machine learning to create improved reconstructions of the ice sheet. This role is based in Hobart, Tasmania and visa sponsorship and relocation allowances may be considered for the right candidate. What
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Intelligence or Machine Learning, with demonstrable analytical skills. Excellent research record evidenced by first-author publications in strong international journals and conferences. Proven experience in