254 cloud-computing-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" Postdoctoral positions in United Kingdom
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within the group of Suyang Zhang at the MRC Laboratory of Molecular Biology (LMB), within a programme aimed at elucidating the mechanism of transcription-coupled splicing. Specifically, the project aims
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in related program areas to gain exposure to and build knowledge on experimental/research activities and approaches, in order to improve conceptual development and industrial implementation. Identify
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to be key to this programme. Candidates must have excellent oral and written scientific communications skills, commitment to collaboration in research and to taking a multidisciplinary approach to problem
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start in June 2026, for a period of 3 years. Successful candidates will join thriving research teams within the Institute for Computational Cosmology (ICC) at Durham. The ICC is a leading group in
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to develop a program of work investigating how brains use internal models of task and world structure to enable flexible goal-directed behaviour. The experiments will involve recording and/or manipulating
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Light and Matter group. The position is associated with a new five-year Programme Grant on “Quantum Many-Body Physics with Ultracold Polar Molecules'' funded by UK Research and Innovation (UKRI
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development towards optimizing and understanding sonochemical nitrogen fixation to help advance our internationally leading programme of research. This work will also contribute towards building a case for a
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(SNES), Newcastle University. This position is funded by Innovate UK as part of the Sustainable Medicines Manufacturing Innovation Programme (SMMIP), in collaboration with AstraZeneca and Indicatrix
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development towards optimizing and understanding sonochemical nitrogen fixation to help advance our internationally leading programme of research. This work will also contribute towards building a case for a
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, economics, and other areas of computational social science; • AI scientists for natural science, integrating LLM agents with simulation and, where appropriate, robotic experimentation (e.g., automated “dry