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networks. This position is part of a UK-Canada Quantum for Science collaborative project "Quantum network applications in theory and practice" funded by STFC/EPSRC (UK) and NSERC (Canada), led by Professor
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. They will be working with a team composed of PhD students, Research Assistants and Postdocs that is developing novel multi-robot architectures for practical, real-world settings. Current solutions to many
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pipelines will include structural imaging, multi-shell diffusion, susceptibility weighted imaging and functional MRI. These analyses will make use of publicly available tools, and may also require software
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robots. They will be working with a team composed of PhD students, Research Assistants and Postdocs that is developing novel multi-robot architectures for practical, real-world settings. Current solutions
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stakeholders who benefit from these ecosystems. The successful candidate will have a PhD in a relevant subject such as interdisciplinary ocean science, or ecology and preferably a good understanding of the
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, three PhD students and a postdoctoral researcher. The project is led by Dr. Yiren Zhao at Imperial College, who is supported by Prof. George Constantinides and Prof. Wayne Luk. The team also includes Dr
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an account with our recruitment system (if you have not already) and apply online. Applicants must have (or be close to obtaining) a PhD. Appointment at Research Associate level is dependent on having a PhD
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instruction or plan/ deliver seminars relating to the research area. The successful candidate will have or be about to receive a PhD in mathematics, engineering or a closely related area, and have experience in
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about our areas of interest can be found in the group website. Applicants must have (or be about to receive) a PhD in Physics, Chemistry, Materials Science, or a related subject. The ideal candidate will
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broad aims of the group are to develop statistical methods, run applied analyses that address important clinical questions, and disseminate methods in the area of Mendelian randomization, defined as the