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-based methods) Excellent writing and communication skills, with experience assisting writing publications for academic, public and stakeholder audiences Demonstrated interest and/or knowledge in social
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include simulation and control implementation, data analysis, and knowledge dissemination through technical documentation and stakeholder workshops. This is a full-time, fixed-term role starting 1 September
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to meet the following pre-requisites for their PhD: Demonstrate a sound knowledge of their research area; Achieve and demonstrate significant depth in at least a few chosen sub-areas relevant
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research. Knowledge of and practical experience with participatory action research in diverse areas of health inequity Strong qualitative research skills (e.g. semi-structured interviews, ethnographic
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: Experience of data-driven modelling and optimization-based analysis. Knowledge of fluid mechanics. Knowledge of control theory and optimization. Knowledge of partial differential equations. Have a strong
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) opportunities for publication; (2) the chance to develop knowledge and skills in neuroimaging analysis; and (3) experience of working with digital mental health and smartphone-based assessment tools. There will
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(liquid nitrogen and/ helium atomic scale STEM Knowledge of in situ STEM characterisation Expertise in aberration corrected STEM What we can offer you: Grow your career: gain access to Imperial’s sector
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Appropriate computational skills and knowledge of programming languages (Python, C++, etc.) Experience with Machine and Deep Learning models and software (Keras, Scikit-Learn, Convolutional Neural Networks, etc
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, dedicated to generating original knowledge and understanding of air and space power issues. FASI places a priority on identifying, developing and cultivating the next generation of air and space thinkers in
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specifically investigate the cybersecurity benefits for frontline workers in manufacturing and healthcare contexts. It will also explore broader security and privacy implications for knowledge workers