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will test hypotheses and analyse scientific data from a variety of sources, reviewing and refining working hypotheses as appropriate, develop ideas for generating research income, and present detailed
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/experimental design and analysis of complex research data. Advanced knowledge of preclinical (in vitro and/or in vivo) validation. Excellent inter-personal skills with an ability to work co-operatively in a
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and leading a programme of numerical simulations relating to all aspects of our research on P-MoPAs; using particle-in-cell computer codes hosted on local and national high-performance computing
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researchers and PhD students, pursuing research in many aspects of field theory, string theory, and integrability (for more information, see www.hw.ac.uk/uk/schools/mathematical-computer-sciences/research/maths
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performing experiments using human cells, murine tissues and/or cell lines. You must have previous experience on handling scientific data, data analysis and statistics. Must have excellent interpersonal
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metallodrugs Mammalian cell culture including experience of 3D cell culture techniques. Confocal microscopy including quantitative image analysis Flow cytometry General molecular biology techniques such as
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with mouse genetics, molecular biology (including functional genomics) and bioinformatics (including UNIX, R and Python for single cell analysis). You will be highly motivated, current with
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positioning in meiosis. We publish regularly in leading journals such as Nature, Science, eLife, and PNAS. Alumni have secured faculty positions at institutions including Warwick, Glasgow, Sydney, Amsterdam
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frequency stabilisation and control, image analysis, data acquisition, optical design and Gaussian beam propagation. Desirable: 4. Experience · Demonstrable ability to develop research proposals
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necessary for the benefit of the project; • employ simulations and data analysis routines to analyze your data; • help to establish a scientifically outstanding and warmly communicative