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to symmetry breaks in the patterning process. A hybrid modelling approach integrating the dynamics of a core network while utilising a virtual template from experiments for cellular growth and division will be
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Partnership at the University of Cambridge. This programme is a collaboration between industry and academia, now in the final 24 months of a 60-month effort. The programme integrates research and innovation
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to symmetry breaks in the patterning process. A hybrid modelling approach integrating the dynamics of a core network while utilising a virtual template from experiments for cellular growth and division will be
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to work with a leading team in historical bibliography, digital humanities, and medieval library history. You will take a leading role in the reconciliation, enhancement, and integration of the MLGB dataset
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pathways in forms of infant leukaemia driven by the MNX1 oncogene (https://doi.org/10.1038/s41389-022-00426-2 ; https://doi.org/10.1042/BSR20220489 ). The post-holder will integrate within the Tosi Lab, and
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reconciliation, enhancement, and integration of the MLGB dataset, working with legacy print, manuscript, and digital sources. You will apply and adapt digital methods (especially TEI XML), analyse provenance data
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Natural Language Processing (NLP) in the areas of culturally aware NLP or multilingual conversational NLP, and integration of such methods to support language technology in multiple languages
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Applications are invited for a Research Assistant to join the Integrated Clinical-Computational Affective Research Unit (ICARUS). The unit is led by Dr Liam Mason (Associate Professor of Clinical
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liquid nitrogen and liquid helium sample environments and integrating electrical biasing setups in the microscope to study ferroelectric materials in situ. Data Acquisition and Analysis: Process and
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group members, assisting them in planning their research and giving specialised training as required • Ensure intellectual rigour and adherence to robust ethical standards to maintain integrity