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, at the University of Cambridge, UK. The Postdoc will work together with a team of students and research collaborators on the development of learning-based discovery of robot task/environment designs
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development activities such as appropriate professional activities while in the role. This is an excellent opportunity for someone enthusiastic about learning new techniques, proactive in research and self
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of regional cerebral blood volume changes in deep cerebral structures. Combining these modalities will enable the first ever functional whole-brain imaging (cerebral cortex and deeper structures) at the cotside
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Learning Lab, along with the Alan Turing Institute, the MRC Biostatistics Unit, and the Stan community. The position is based in Central Cambridge, UK. The project synthesises and advances insights from
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, manipulate large datasets, visualise data and perform numerical and statistical analysis is a requirement. Experience in handling 'big data', machine learning and working in distributed teams, is useful
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) in a relevant subject (Physics, Chemistry, Materials Science, Chemical Engineering), experimental track record and willingness to learn. Home rate fees are fully funded. Applicants from overseas will