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, including in Warwick, Glasgow, Sydney, Amsterdam and Munich. The role: The main purpose of the position is to develop predictive computational models of epigenetic dynamics, collaborating particularly with
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the control of nonlinear dynamics of light in fibre lasers and optical resonators. The successful candidate will have completed (by the start date of the contract) a PhD degree in Photonics, Theoretical Physics
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, communications masts, wind turbines) to integrate into the showcase software. The researcher will characterise structures (for existing and new data) as ‘irreducible element’ models, thus enabling the PBSHM
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provide an industrial assessment of the mission concept. The project will be embedded within the Space and Exploration Technology Group (SET), which comprises expertise across access to space, orbital
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testing and stakeholder engagement. Collaborate closely with the PhD researcher to connect environmental data analysis with computational design innovation. Participate in fieldwork in Norwegian glacier
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(multivariate classification and/or computational modelling) to carry out fundamental science research in the Woolgar lab. The ideal post holder will have prior experience with acquisition of fMRI and/or MEG data
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will analyse quantitative imaging data from a variety of sources, including Spatial Transcriptomics and Multiplex Immunofluorescence platforms, for validation and calibration of mathematical models. You
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simulations, generalize experimental observations, and offer insight on the response of selected case studies. You should hold a PhD/DPhil (or be near completion) in numerical modelling for geotechnical
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for the Research Associate, Grade 7 level, position must have a PhD in a quantitative biology discipline, statistics or machine learning along with a proven track record of research using statistical modelling
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spatially-resolved models of metastatic outgrowth in the liver which account for interactions between stromal, immune and tumour cells. You will analyse quantitative imaging data from a variety of sources