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Field
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Responsibilities Applied Research & Development Translate clinical needs assessment and workflow analysis into engineering requirements for organisational innovation transition, focusing on but not limited
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and identify green skill gaps within the prison context. Phase 2: Data Modelsling and Structuring: Utilize data analysis techniques (e.g., Python and statistical modelling) to process information
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, microbial cultures, and cleaning validation samples. Develop data analysis pipelines for Raman spectral classification, potentially integrating machine learning methods. Research & Project Responsibilities
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collection, processing and analysis of data as well as the writing for the respective publication outlets. Key deliverables The aim of the Research Fellow’s work is to generate and disseminate impactful
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strong publication record or clear evidence of research productivity will be an advantage. Our lab uses Python, MATLAB and C++ to automate both data analysis and process control. Knowledge in these tools
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research fellows. The research fellow needs to integrate this perspective into study design, creation of research methodologies, data collection, processing and analysis of data as well as the writing
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expertise in optimisation; Computer Science, with expertise in design and analysis of algorithms and high-performance (GPU) computing; Industrial and Systems Engineering, with AI in process mapping and Conops
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analysis. Strong knowledge of HV and LV power systems and protection Experience with power system analysis tools Strong safety mindset and clear technical communication skills
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design optimisation, and performance evaluation. Perform advanced materials characterisation and microstructural analysis, including but not limited to: i. X-ray Fluorescence (XRF) ii. X-ray Diffraction
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staining and confocal imaging, RNA-seq. Data analysis, interpretation of experimental outcomes, and preparation of manuscripts for publication Supervise and train junior researchers and contribute