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project management, to co-ordinate multiple aspects of work to meet deadlines. You will be responsible for preparing working theories and analysing qualitative and/or quantitative data from a variety of
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Experience in design and fabrication of devices and/or Soft Robots Experience in Material Testing/Characterization Basic knowledge of Control Theory Application Procedure Informal enquiries are encouraged and
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the STEM (Science, Technology, Engineering and Mathematics) academic domain, and comprises open access Weekly Classes and Short Online Courses, Day & Weekend events, lecture series and summer schools. It
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researchers will extend and apply the ideas of active matter physics in biological contexts, developing theories and cell-scale and continuum computational models. The work will focus on identifying physical
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Biostatistics, Mathematics, Statistics, Computing, Mathematical Biology or a related subject. You will have expertise in making sense of microbial genetics. Proficiency in a high-level programming language is
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a research group with responsibility for carrying out research for the UKRI ERC Guarantee Grant project General Theory of Implicit Regularization (GTIR). The post holder will provide guidance
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In 2014, the Department for Education launched an initiative instructing all schools to promote “Fundamental British Values”. These comprise: democracy, rule of law, individual liberty, mutual respect, and tolerance of those with different faiths and beliefs. The policy aimed to promote a shared...
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medicine, with a primary focus on optimizing clinical trial design. The partnership will bring together the University of Oxford’s expertise in statistics, mathematics, engineering and AI with industry
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possibility of extension. Flexible and hybrid working patterns will be considered. The AI Hub: The EPSRC-funded Erlangen AI Hub brings together leading minds from across the UK’s mathematical, algorithmic and
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Colorectal Cancer - Stratification of Therapies through Adaptive Responses (CRC-STARS) programme, developing and applying cutting-edge mathematical methods to spatial transcriptomics imaging data in order to