5 machine-learning-"https:" "https:" "https:" "https:" "https:" positions at University of Birmingham
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. Experience in coding (e.g., Python/R/Matlab) and experience in behavioural experimentation, statistics, or machine learning is desirable but full training will be provided. Interviews for this studentship
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. The PhD will combine behavioural experiments, machine learning, and explainable-AI methods to answer questions: Do SR techniques improve human face identification accuracy? How do SR-enhanced images affect
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-driven, technologically enhanced solutions for biodiversity conservation. For further information on this project and details of how to apply, please click on the 'Apply' button above and https
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systems in toxicology and pharmacology. Crit Rev Toxicol. 2021 Jul;51(6):540-554. Jia et al. Advancing Computational Toxicology by Interpretable Machine Learning. Environ Sci Technol. 2023 Nov 21;57(46
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geotechnical engineering, archaeology, geophysics, sensing and machine learning, with group members from seven different countries, speaking over ten different languages. Perks of this role include: Opportunity