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, Computational Astrophysics, Early Universe or Gravitational Physics will be an advantage. The post-holder will have the opportunity to teach. Please direct enquiries about the role to Professor Pedro
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record. We welcome applications from candidates that have acquired their skills in technical fields like physics, engineering, applied mathematics, or computer science, as long as they have had prior
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to enable robust robot autonomy in complex, real-world environments. The post sits within our EPSRC Programme Grant in Embodied Intelligence and will advance the state of the art in localisation and scene
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full-time, fixed-term position for a duration of two years. The role is based within the Department of Computer and Information Sciences at Northumbria University, located in Newcastle upon Tyne. About
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, Computational Astrophysics, Early Universe or Gravitational Physics will be an advantage. The post-holder will have the opportunity to teach. Only applications received before midday Friday 27 November 2025 can
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project on Addressing socio-technical limitations of Large Language Models (LLMs), particularly for medical and social computing (https://adsolve.github.io/ ). The role involves developing methods
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between Departments is important to the role which will be based in the Materials Innovation Factory. The post will involve leading an iterative programme of applied polymer chemistry and materials science
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physics within the Durham Quantum Light and Matter group. The positions are associated with a new five-year Programme Grant on "Quantum Many-Body Physics with Ultracold Polar Molecules" funded by UK
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Europe Programme, the EU’s primary funding program for research and innovation. The synthesis centre hosts collaborative interdisciplinary working groups from outside institutions, along with a team of new
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for candidates to have the following skills and experience: Essential criteria PhD qualified in mathematical, physical or computational sciences Experience in using machine learning methods to analyse datasets