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of statistics and quantitative data analysis, hands-on experience with R or Python strong interest in prototyping commitment to and interest in the design and implementation of Open Science/Open Source practices
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, next-generation sequence analysis, immunohistochemistry, fluorescence in situ hybridisation Experience in cancer model development and pre-clinical therapeutic trials Evidence of working with human or
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-scale job ads datasets, spatial datasets, patents). Conduct data analysis using econometric and statistical tools. Excellent knowledge of R is expected. Good knowledge of Python, experience with modern
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testing, and (typically via external collaboration) inorganic materials characterisation (diffraction, tomography, microscopy, spectroscopy, surface area and porosity analysis etc). It is only fair
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the context of computing Familiarity with research tools and methods, including statistics platforms like R and/or thematic analysis Knowledge of user-centred design and research methods involving human
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analysis using StarCCM+/OpenFoam, conduct the experimental test using our cavitation tunnel, the combined wind, wave and current tank and the research vessel, and develop a novel maritime system for clean
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experience in developing computational models and implementing models for computer simulations. Software development in C++ and/or Python is expected, and experience in model analysis and parameter
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, Skills and Experience • You will have substantial technical experience in time series analysis, ideally either in neurophysiology data or wearable sensor data • You will have experience of at least
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. Experience in next-generation sequencing analysis and FACS is desirable. The Research Assistant will be encouraged to contribute ideas during team discussions and may support post-graduate students (MSc/MPhil
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, and workshops is required. Key Duties and Responsibilities Developing a research protocol, undertaking data collection, data analysis for the qualitative research Conduct and manage research and related