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, mathematics, biology or related neuroscience field. Obtained a master degree in a relevant neuroscience, engineering, physics, biology or related field. Quantitative background, with research experience in
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, mathematics, biology or related neuroscience field. Obtained a master degree in a relevant neuroscience, engineering, physics, biology or related field. Quantitative background, with research experience in
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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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, 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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Job description Job summary The post is funded by UKRI project, AVATAR. The successful candidate will have the opportunity of working within one of the world leading research groups on structural integrity and health monitoring . The research will be part of a H2020 European project for digital...
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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