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: 23.59 hours BST on Sunday 08 June 2025 Interview Date: Friday 27 June 2025 Reference: CBS-0112-25 We are looking for a skilled and motivated Post Doctoral Research Associate to join the Structure and
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based on the understanding that early experience shapes the way our brain is constructed. While the “ground plan” of the brain is genetically determined, it is also influenced by environmental experience
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qualification/experience equivalent to PhD level in a relevant subject area (physics, engineering, computing science, etc.). You will need as essential skills a good knowledge of C and python, familiarity with
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qualification/experience equivalent to PhD level in a relevant subject area (physics, engineering, computing science, etc.). You will need as essential skills a good knowledge of C++ and python, familiarity with
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Job Purpose To contribute to / make a leading contribution to the EPSRC UK Hub for Quantum Enabled Position Navigation and Timing (QEPNT), part of the UK’s flagship National Quantum Technology
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at the School of Engineering & Materials Science, Queen Mary University of London, working closely with researchers at the Digital Environment Research Institute & Barts Heart Centre. Barts Heart Centre provides
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selection. This role will address two key aspects of programme development, the design and construction of new bioluminescent and other reporter strains of human fungal pathogens, to support the development
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laboratory, technology and teaching facilities. Division of Signal Transduction Unit (DSTT): The Division of Signal Transduction Therapy (DSTT) was established in 1998. This division operates as a unique
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regulators of haemostasis and inflammation, and may play a key role in mediating the vascular effects of CO exposure. However, this interaction remains poorly understood. This project aims to determine how
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‘ordinary’ British citizens, and their interactions with institutions and the state, throughout the period. The successful candidate will collect and analyse mid-late twentieth-century material from mostly