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academic department that encompasses computer science along with many aspects of engineering, technology and mathematics. We have a world wide reputation for academic research with consistent top research
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; experience with mathematical modelling and common convex optimization algorithms; experience with mathematical modelling for non-deterministic polynomial (NP-hard) problems; familiarity with common digital
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simulation software packages and finite element analysis; previous knowledge in wireless power transfer; experience in spatial magnetic field shaping; experience with mathematical modelling and common convex
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This post is full time, and has funding for up to 23 months. The School of Mathematics & Statistics are looking to recruit a Research Assistant/Associate to make a contribution to/make a leading
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, preferably in the fields of Reactor Physics and Radiation Transport Modelling Methods. They should have a strong mathematical foundation in Monte Carlo methods, proven ability of their application
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Leverhulme Trust International Professorship. The position will be in the research cluster Fundamental Particle Physics in the Department of Mathematical Sciences which is part of the School of Physical
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or a related area, with extensive research experience and a strong publication record. Excellent mathematical and programming skills are essential, with experience in two or more of Bayesian methods
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or a related area, with extensive research experience and a strong publication record. Excellent mathematical and programming skills are essential, with experience in two or more of Bayesian methods
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solutions for real-world problems in 6G use-cases. Candidate profile MSc in Computer Science, Engineering, Mathematics or related area (min 2.1 grade or equivalent) or equivalent work experience Previous AI
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honours (2:1) degree in Engineering (e.g., Neural, Biomedical, or Electronic/Electrical Engineering), Mathematics, Physics, Computational Neuroscience or related quantitative discipline and will be highly