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Field
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) will be trained to map microarchitectures to mechanical properties. Advanced graphing and optimisation algorithms would allow the intelligent placement, positioning and electric circuitry routing between
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The purpose of the role is to support the PI (Dr Rainer Groh) in the delivery of an ambitious research programme funded through a UK Research & Innovation Future Leaders Fellowship. By combining
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on semi-automated segmentation, classical registration techniques for motion correction, and iterative algorithms for parameter mapping – leading to computation times of many hours or even days per case
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courses: Spatio-Temporal Data Mining and Big Data Analytics, launched in 2014 and still growing and developing in reputation; and Geospatial Sciences (GIS & Computing, BIM, Hydrographic Surveying
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; application of in-house machine learning algorithms to identify optimal linker activity and selectivity; synthesis and characterisation of linker candidates; and proof of concept studies to demonstrate
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from home, which the KTP associate will be expected to follow. The KTP will focus on: Advanced AI and data science, including Machine Learning (ML) and Deep Learning (DL) modelling / algorithms. Best
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in the UK and amongst the most powerful in Europe. The AI Supercomputing team owns the entire process of developing and operating the Centre’s compute and software infrastructure, which includes
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) Country United Kingdom Application Deadline 6 Nov 2025 - 00:00 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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Operations Research and Business Informatics. You are experienced in variants of dual-resource-constrained problems and have published research in this field. You possess excellent knowledge of constraint
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programme in probabilistic AI. The hub will develop the next generation of mathematically principled, scalable and uncertainty-aware AI algorithms. This will be achieved through: bringing together world