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We are looking for a full-time Research Assistant in Dr Fengzhu Xiong's lab at the Gurdon Institute, University of Cambridge. The successful candidate will be involved in studies of collective cell
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at the point of commencing this post, with experience in contemporary molecular cell biology, tumour metabolism, experimental modelling and bioinformatics as applied to translational cancer genomics, ideally
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will combine 2 and 3D cell culture systems, gastruloids development, FACS drug screening and next-generation sequencing with investigation of patient samples, to identify and characterise targetable
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. cell culture, molecular biology, imaging, cell signalling assays). As well as performing experiments on the project, the role will involve providing training in techniques to relevant staff/students
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, with experience in contemporary molecular cell biology, tumour metabolism, experimental modelling and bioinformatics as applied to translational cancer genomics, ideally within the context of childhood
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reading and writing skills; good at understanding and explaining concepts Knowledge of on electric vehicle fuel cell systems and CAN communication protocol. Possesses strong problem solving skills
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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 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