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testing data Development of machine learning models for battery health assessment and remaining useful life prediction Job Requirements: PhD degree in Electrical Engineering or related subjects. Expert
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, interpret and evaluate research findings/data using approaches, techniques, models and methods selected or developed for the purpose. - To establish a national reputation and regularly disseminate and explain
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on a project on the topic of onshore microgrid energy management system development. Key Responsibilities The roles of this position include: Development of the onshore microgrid model including static
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programme. To acquire, analyse, interpret and evaluate research findings/data using approaches, techniques, models and methods selected or developed for the purpose. To establish a national reputation and
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performance under diverse operating scenarios, including power limitations, ambient environmental conditions, and human-device interactions • Validate simulation models using experimental data or benchmark
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cytometry, innovative somatic mouse models and patient tissue to define the biology of glioblastoma, the most common and aggressive type of primary brain tumour, with the goal to develop novel and
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career development. A rich overall training environment facilitates the advancement of learners from all levels, offering a wide variety of technical and conceptual expertise alongside mentoring from
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’) with responsibility for the day-to-day project, budget and research activities. You will also undertake research including developing and fine-tuning large language models and topic modelling methods
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data collection, analysis and reporting Conceptualization and implementation of statistical models Collecting, managing, and structuring quantitative datasets Report writing and manuscript preparation
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for environmental monitoring and management in academia or industry to contribute to the development of research programmes and methodologies Ability to routinely communicate complex and conceptual ideas to those