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Artificial intelligence and machine learning methods for model discovery in the social sciences Department of Automatic Control and Systems Engineering PhD Research Project Self Funded Prof Robin
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proteomics techniques combined with artificial intelligence and bioinformatic approaches for the analysis of large data sets this project aims at 1. Identifying the molecular signatures associated with
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studentship is available in the Department of Computer Science at University of Sheffield, working on the topic of multi-modal AI for healthcare. In recent years, artificial intelligence (AI) technologies
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are seeking a motivated PhD candidate to contribute to our efforts to develop innovative artificial intelligence-based tools for integrating and consolidating multidimensional geographic data from diverse
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and teaching via Artificial Intelligence (AI). 99 percent of our research is rated in the highest two categories in the REF 2021, meaning it is classed as world-leading or internationally excellent. We
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of our research, innovation and teaching via Artificial Intelligence (AI). 99 percent of our research is rated in the highest two categories in the REF 2021, meaning it is classed as world-leading
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accepted all year round Details Artificial intelligence (AI) applications are transforming modern life but they are becoming increasingly costly in terms of energy and resources. Many deep AI models, created
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Details Artificial intelligence (AI) has permeated various aspects of modern life, significantly influencing the healthcare sector. Fuelled by this momentum, remote patient monitoring facilitated by mobile
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, biomedical text processing, machine translation, and conversational systems. Candidate Requirements Minimum 2.1 bachelor’s degree or master’s degree in a relevant discipline (e.g., artificial intelligence
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, resilient and robust artificial intelligent systems. Aim: The aim of this PhD is to develop new human cognition inspired algorithms (such as Generative AI) that can learn how humans complete manufacturing