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adherence to University policies and procedures within the unit and will carry out service, codes of practice and Health and Safety audits. Candidates should have substantial experience within a similar
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will carry out service, codes of practice and Health and Safety audits. Candidates should have substantial experience within a similar environment, have demonstrable planning, organisational and
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with coding, ideally in Python or MATLAB Funding support This studentship is open to Home students only. It is jointly supported by the Faculty of Engineering and industrial partners which is expected
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School of English, City as Lab - Deaf Cityscape. Responsibilities include: Note taking during in-person data collection Contributing to the design and building of the study Data coding and processing
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identifying relevant treatments and their associated Health Resource Group (HRG) codes to link hospital care provided with NHS Reference Costs, as well as linking any primary care activity with Unit Costs of
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Service (DBS), in line with the University’s code of research conduct and research ethics. You will join the vibrant and multi-disciplinary MindTech Research group and will be based in the Institute
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their application clearly which they are familiar with and their degree of expertise). Experience of geo-coded data analyses and Propensity Score Matching would also be relevant. Expert interviews will also form part
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code for experiment control, data acquisition, and data analysis. They will be expected to work effectively with Dr. Smith, collaborators, other group members and contribute to the dissemination
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aforementioned tasks with the following actions: Develop the principles and theories for governing the scalability principles for building innovative robotics end-effectors that can access geometrically complex
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of linear wave equations and boundary element techniques as well as their high-frequency approximations. Furthermore, the candidate will be expected to extend the existing code in order to apply the developed