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Artificial intelligence and machine learning methods for model discovery in the social sciences School of Electrical and Electronic Engineering PhD Research Project Self Funded Prof Robin Purshouse
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model for innovative medical education and a centre for transformative research. The school’s primary clinical partner is the National Healthcare Group, a leader in public healthcare recognised
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Scientist Position #: 00845968 – Requisition #:39260 Job Summary: Our laboratory develops translational models of transplantation and regeneration to study immune responses, neuronal connectivity, and tissue
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biology, and mechanisms of drug resistance. Research activities will utilize a combination of in vitro approaches, including cultured cell models, and in vivo experimental systems using animal models
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., encoder models, multi-modal embeddings, large language models), and mathematical modeling to map scientific concepts and their relationships, tracing how they change, merge, or diverge across time. Your
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reconfigurable RF hardware for CAP-MIMO systems and contributing to machine learning-enhanced ISAC methods development through EM-informed modelling and hardware design. This is a unique opportunity to build
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records from stalagmites which grew in coastal caves, to reconstruct the phasing of changes in the North Atlantic salinity relative to AMOC variations, and interpreting them with the aid of process models
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Background/Motivation: For the detection of erotic and pornographic images, models that can recognise human skin, body parts, or scenes are often used. With the help of appropriate datasets [1
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advanced pedagogical models in comparable high-tech sectors and conduct a skills-gap assessment within the Phortify network. Based on this, flexible teaching formats will be studied, developed and piloted
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fatigue cracks growth experiments at high and room temperature Analysis of fatigue experiments by means of fracture propagation models; Segmentation and analysis of X-ray tomographies for detecting material