708 web-developer-university-of-liverpool Postdoctoral research jobs in United Kingdom
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be able to communicate material of a technical nature and be able to build internal and external contacts. You may be asked to assist in the supervision of student projects, the development of student
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The new Oxford-Hyundai Motor Group Foresight Centre is a major research centre located within the University of Oxford’s Saïd Business School. Funded through a generous research sponsorship from
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We are excited to offer this Research Assistant position at the University of Oxford, under the supervision of Professor Paul Goldberg. This is an exciting opportunity to contribute to a major
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) and the Social AI & Robotics Lab (SAIR, led by Dr Oya Celiktutan). In 2025, King's College London is ranked 31st globally in the QS World University Rankings. It is also ranked 36th in the world by
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potato and wheat. The post holder will be a member of a collaborative research consortium involving academic and industry partners. There will be opportunities for personal development, mentoring with
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at the Department of Applied Physics at Aalto University. The position is fully funded by the ERC project SWARM. Our research focuses on developing new cutting-edge techniques to probe the forces and flow in small
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of Engineering, to work on an EPSRC funded project - ‘Engineering Twist'. The project aim is to develop experimental approaches to characterise enriched continuum models for mechanical metamaterials, and their
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in a highly interdisciplinary project funded by the European Research Council (ERC). The overall aim of the project is to understand how intercellular signalling in developing embryos allows them
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to the advancement of the project, through the development of their own research ideas and interpretation of the project. The successful candidate will work with Prof Martin Roderick as the project lead. The post is
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focusing on alignment of MMFM with ethical, legal, and social values. Specifically, the postholder will lead work to: (1) develop bias and fairness methods for domain-specific MMFM to identify and mitigate