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. Familiarity with statistical analysis software (e.g., STATA, R, SPSS) or computer programming (e.g. C++, Python, R) and experience working with health-related data will be advantageous. The ability to work
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, clustering), and creating automated statistical reports and other relevant output from within statistical software. Application & interview 7 Extensive knowledge of randomisation systems, including experience
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excellent knowledge of advanced statistical methods and experience in analysing large-scale datasets, as well as solid practical experience in the use of STATA, R or a similar software package, and good
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or a similar software package, and good written and oral communication skills. The deadline for applications is the 20th July 2025. The position is tenable from the 1st of September 2025 or as soon as
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of the research theme. Some exposure to commercialisation market studies or IP processes. Strong skills in MATLAB Simulink and other modelling tools. Programming skills including software for programming DSP, PSoC
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bioinformaticians at all stages of the analysis project workflow Desirable criteria Excellent computational skills applied to HPC, big data, software development and web technologies Experience in teaching
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bioinformaticians at all stages of the analysis project workflow Desirable criteria Excellent computational skills applied to HPC, big data, software development and web technologies Experience in teaching
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signals of interest. Create reference datasets of spectrum usage for the wider community to use as benchmarks for evaluating spectrum sharing techniques. Emulate wireless systems on software defined radio
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are met and allow you to contribute to the collaborative design, integration and optimisation of real-time software and hardware prototypes. We anticipate that you will also have a strong publication record
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role, publicly available outputs (papers, software, policy briefs): Shaping interdisciplinary, data-intensive research Outline up to three occasions on which you initiated or materially shaped