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data from semi-structured and in-depth interviews, workshop participant observations, focus groups, qualitative surveys etc. Experience in using qualitative data analysis tools and software (such as
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data from sem i-structured and in-depth interviews, workshop participant observations, focus groups, qualitative surveys etc. Experience in using qualitative data analysis tools and software (such as
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qualification will be advantageous. Knowledge of Food Analysis software e.g. FoodWorks will be advantageous Share this job Facebook Twitter LinkedIn Apply on website Send job Apply on website Save jobClick to add
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using software such as E-Views, Stata, R, or Python, are advantageous. The candidate must demonstrate the ability to work collaboratively within a research team while also managing independent research
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interest in working with people with neurodevelopmental conditions and/or in clinical informatics Familiarity with statistical software packages, data management, & quantitative analysis techniques Excellent
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to participate in collaborative work Desirable criteria Ability to use computer algebra software (e.g. Mathematica or Maple) for symbolic computations Good numerical skills Experience in field-theoretical methods
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maximises the overall performance balance (energy, power, lifetime, cost, etc) of the electrode and the battery. The open source software PyBaMM, along with the optimisation suite PyBOP, have been developed
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; supervising student projects/practicals. · Demonstrable ability to model experiments using a range of software packages, such as Python, Matlab or Mathematica. · Experience of experimental
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scientists, including software engineers and material scientists, from the Universities of Edinburgh, Stirling, and Arizona State University in the USA Your skills and attributes for success: The ideal
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of production-quality software, the application of Simulation Based Inference and strong communication skills. For more information see the detailed job description and person specification. Research Environment