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learning, at the intersection of reinforcement learning, deep learning and computer vision, in order to train effective robotic agents in simulation. You should hold a relevant PhD/DPhil (or near completion
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recruitment and clinical assessment activities and helping design the neurofeedback protocol, including monitoring data quality for clinical interviews, data collection of online databases of self-report
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samples. The postholder will use datasets from a large NIH-funded project based in the US to develop methods for jointly analysing dMRI and PS-OCT data. The post holder will be expected to take an
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trapping or fluorescence microscopy to study DNA replication; • develop and employ simulations and data analysis routines to analyze your data; • develop an interdisciplinary skillset by
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’, multidimensional datasets. These data are part of a research project aiming to decipher the molecular basis of the sexual dimorphism establishment in schistosomes. In particular, the PDRA will focus
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; testing hypotheses and analyzing data from a variety of sources, reviewing and refining working hypotheses as appropriate; engage with industrial stakeholders to understand needs and disseminate results
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responsible for managing your own academic research and administrative activities and adapting existing and developing new research methodologies and materials. You will analyse quantitative data from a variety
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funded by EPSRC and is fixed-term until 31 May 2026. The role will entail collecting and analysing functional MRI data from healthy volunteers, including both BOLD and ASL from 3T Siemens clinical scanners
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on process development, electrode manufacture and performance assessment, but depending on the skills of the successful applicant, may also involve some aspects of modelling or data science. The post is funded
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of progression to secondary acute myelogenous leukaemia (sAML). You will take a lead on developing data analysis approaches to search for targetable genetic, epigenetic, or epitranscriptomic mechanisms